vulkan 6800XT Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0812 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0812 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2 x 64GB Flash Drive, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 22.04, Kernel: 5.19.0-50-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.5-0ubuntu0.1~22.04.3 (LLVM 15.0.7 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0812 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2 x 64GB Flash Drive, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 22.04, Kernel: 5.19.0-50-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.5-0ubuntu0.1~22.04.3 (LLVM 15.0.7 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160 vkpeak 20230730 fp32-scalar GFLOPS > Higher Is Better a . 22073.26 |================================================================= b . 21822.47 |================================================================ vkpeak 20230730 fp32-vec4 GFLOPS > Higher Is Better a . 21484.21 |=============================================================== b . 22328.13 |================================================================= vkpeak 20230730 fp16-scalar GFLOPS > Higher Is Better a . 21527.05 |=============================================================== b . 22233.82 |================================================================= vkpeak 20230730 fp16-vec4 GFLOPS > Higher Is Better a . 33775.49 |================================================================ b . 34040.48 |================================================================= vkpeak 20230730 fp64-scalar GFLOPS > Higher Is Better a . 1413.60 |================================================================== b . 1416.24 |================================================================== vkpeak 20230730 fp64-vec4 GFLOPS > Higher Is Better a . 1411.86 |================================================================== b . 1414.33 |================================================================== vkpeak 20230730 int32-scalar GIOPS > Higher Is Better a . 3834.89 |================================================================== b . 3850.03 |================================================================== vkpeak 20230730 int32-vec4 GIOPS > Higher Is Better a . 4477.62 |================================================================== b . 4497.58 |================================================================== vkpeak 20230730 int16-scalar GIOPS > Higher Is Better a . 21383.73 |=============================================================== b . 22064.23 |================================================================= vkpeak 20230730 int16-vec4 GIOPS > Higher Is Better a . 33053.14 |=============================================================== b . 33941.93 |================================================================= VkFFT 1.2.31 Test: FFT + iFFT R2C / C2R Benchmark Score > Higher Is Better a . 59316 |==================================================================== b . 57474 |================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in half precision Benchmark Score > Higher Is Better a . 127229 |=================================================================== b . 128044 |=================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein in single precision Benchmark Score > Higher Is Better a . 14811 |==================================================================== b . 14334 |================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in double precision Benchmark Score > Higher Is Better a . 28285 |==================================================================== b . 28242 |==================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision Benchmark Score > Higher Is Better a . 65298 |==================================================================== b . 65337 |==================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C multidimensional in single precision Benchmark Score > Higher Is Better a . 45096 |==================================================================== b . 43591 |================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein benchmark in double precision Benchmark Score > Higher Is Better a . 6949 |===================================================================== b . 6926 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling Benchmark Score > Higher Is Better a . 69116 |==================================================================== b . 69137 |==================================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better a . 8.492 |==================================================================== b . 8.491 |==================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 7.51 |===================================================================== b . 7.06 |================================================================= NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 2.02 |===================================================================== b . 1.90 |================================================================= NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 1.79 |===================================================== b . 2.35 |===================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 1.77 |==================================================== b . 2.37 |===================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 1.90 |======================================================= b . 2.38 |===================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 3.37 |========================================================= b . 4.08 |===================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 0.65 |================================================= b . 0.91 |===================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 5.51 |============================================================ b . 6.35 |===================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 40.26 |==================================================================== b . 19.08 |================================ NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 4.10 |==================================================================== b . 4.16 |===================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 3.84 |==================================================================== b . 3.87 |===================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 8.47 |===================================================================== b . 8.20 |=================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 10.84 |==================================================================== b . 10.70 |=================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 5.65 |===================================================================== b . 4.82 |=========================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 5.40 |===================================================== b . 7.07 |===================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 1336.94 |================================================================== b . 1018.84 |================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 2.17 |============================================================= b . 2.46 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 7.22 |=========================================================== b . 8.51 |===================================================================== b . 8.04 |================================================================= NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 2.24 |=============================================================== b . 2.47 |===================================================================== b . 1.90 |===================================================== NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 1.81 |===================================================================== b . 1.73 |================================================================== b . 1.64 |=============================================================== NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 1.83 |===================================================================== b . 1.77 |=================================================================== b . 1.71 |================================================================ NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 2.02 |===================================================================== b . 1.79 |============================================================= b . 1.68 |========================================================= NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 3.69 |===================================================================== b . 3.34 |============================================================== b . 3.29 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 0.87 |===================================================================== b . 0.76 |============================================================ b . 0.60 |================================================ NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 6.31 |===================================================================== b . 5.79 |=============================================================== b . 5.17 |========================================================= NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 19.05 |================================================================= b . 18.98 |================================================================ b . 20.02 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 4.16 |===================================================================== b . 4.18 |===================================================================== b . 3.72 |============================================================= NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 3.94 |=================================================================== b . 3.94 |=================================================================== b . 4.07 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 8.25 |=================================================================== b . 8.27 |=================================================================== b . 8.49 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 11.19 |======================================================== b . 13.63 |==================================================================== b . 11.40 |========================================================= NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 5.28 |================================================================= b . 5.60 |===================================================================== b . 5.28 |================================================================= NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 6.86 |===================================================================== b . 5.86 |=========================================================== b . 5.36 |====================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 1249.17 |=============================================================== b . 1301.13 |================================================================== b . 1158.57 |=========================================================== NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 2.45 |===================================================================== b . 2.17 |=============================================================