ryzen z1 extreme vulkan compute AMD Ryzen Z1 Extreme testing with a ASUS RC71L v1.0 (RC71L.319 BIOS) and ASUS AMD Phoenix1 4GB on Ubuntu 23.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen Z1 Extreme @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS RC71L v1.0 (RC71L.319 BIOS), Chipset: AMD Device 14e8, Memory: 12GB, Disk: 512GB Micron_2400_MTFDKBK512QFM + 1000GB RTL9210B-CG, Graphics: ASUS AMD Phoenix1 4GB (2700/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: GNOME Shell 44.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Z1 Extreme @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS RC71L v1.0 (RC71L.319 BIOS), Chipset: AMD Device 14e8, Memory: 12GB, Disk: 512GB Micron_2400_MTFDKBK512QFM + 1000GB RTL9210B-CG, Graphics: ASUS AMD Phoenix1 4GB (2700/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: GNOME Shell 44.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen Z1 Extreme @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS RC71L v1.0 (RC71L.319 BIOS), Chipset: AMD Device 14e8, Memory: 12GB, Disk: 512GB Micron_2400_MTFDKBK512QFM + 1000GB RTL9210B-CG, Graphics: ASUS AMD Phoenix1 4GB (2700/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: GNOME Shell 44.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1080 vkpeak 20230730 fp32-scalar GFLOPS > Higher Is Better a . 3308.60 |================================================================== b . 3273.72 |================================================================= c . 3279.81 |================================================================= vkpeak 20230730 fp32-vec4 GFLOPS > Higher Is Better a . 2839.10 |================================================================== b . 2820.87 |================================================================== c . 2824.01 |================================================================== vkpeak 20230730 fp16-scalar GFLOPS > Higher Is Better a . 3187.20 |================================================================= b . 3188.13 |================================================================= c . 3220.60 |================================================================== vkpeak 20230730 fp16-vec4 GFLOPS > Higher Is Better a . 5582.61 |================================================================== b . 5275.91 |============================================================== c . 5507.21 |================================================================= vkpeak 20230730 fp64-scalar GFLOPS > Higher Is Better a . 128.97 |=================================================================== b . 128.98 |=================================================================== c . 129.05 |=================================================================== vkpeak 20230730 fp64-vec4 GFLOPS > Higher Is Better a . 128.73 |=================================================================== b . 128.96 |=================================================================== c . 129.25 |=================================================================== vkpeak 20230730 int32-scalar GIOPS > Higher Is Better a . 813.98 |================================================================== b . 820.37 |=================================================================== c . 822.82 |=================================================================== vkpeak 20230730 int32-vec4 GIOPS > Higher Is Better a . 809.28 |================================================================== b . 815.37 |=================================================================== c . 818.40 |=================================================================== vkpeak 20230730 int16-scalar GIOPS > Higher Is Better a . 3214.31 |================================================================= b . 3243.97 |================================================================== c . 3261.74 |================================================================== vkpeak 20230730 int16-vec4 GIOPS > Higher Is Better a . 5709.91 |================================================================= b . 5636.79 |================================================================ c . 5788.93 |================================================================== VkFFT 1.2.31 Test: FFT + iFFT R2C / C2R Benchmark Score > Higher Is Better a . 6490 |==================================================================== b . 6622 |===================================================================== c . 6618 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in half precision Benchmark Score > Higher Is Better a . 23635 |==================================================================== b . 23684 |==================================================================== c . 23678 |==================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein in single precision Benchmark Score > Higher Is Better a . 2924 |================================================================== b . 3047 |===================================================================== c . 3043 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in double precision Benchmark Score > Higher Is Better a . 4284 |===================================================================== b . 4287 |===================================================================== c . 4291 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision Benchmark Score > Higher Is Better a . 11584 |==================================================================== b . 11585 |==================================================================== c . 11584 |==================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C multidimensional in single precision Benchmark Score > Higher Is Better a . 5674 |=================================================================== b . 5801 |===================================================================== c . 5805 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein benchmark in double precision Benchmark Score > Higher Is Better a . 1028 |================================================================== b . 1065 |==================================================================== c . 1074 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling Benchmark Score > Higher Is Better a . 12090 |==================================================================== b . 12089 |==================================================================== c . 12088 |==================================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better a . 50.59 |================================================================== b . 51.90 |==================================================================== c . 51.41 |=================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 9.60 |=================================================================== b . 9.81 |==================================================================== c . 9.91 |===================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 2.71 |=================================================================== b . 2.76 |==================================================================== c . 2.81 |===================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 2.50 |==================================================================== b . 2.51 |==================================================================== c . 2.55 |===================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 2.09 |=================================================================== b . 2.12 |==================================================================== c . 2.15 |===================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 2.47 |==================================================================== b . 2.49 |==================================================================== c . 2.52 |===================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 3.84 |==================================================================== b . 3.83 |==================================================================== c . 3.91 |===================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 0.75 |=================================================================== b . 0.74 |================================================================== c . 0.77 |===================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 7.43 |=================================================================== b . 7.46 |==================================================================== c . 7.62 |===================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 35.97 |================================================================== b . 36.79 |==================================================================== c . 36.30 |=================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 5.35 |==================================================================== b . 5.34 |==================================================================== c . 5.41 |===================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 5.37 |=================================================================== b . 5.47 |==================================================================== c . 5.53 |===================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 11.29 |================================================================= b . 11.73 |==================================================================== c . 11.59 |=================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 15.96 |================================================================== b . 16.03 |================================================================== c . 16.53 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 6.98 |==================================================================== b . 7.08 |===================================================================== c . 7.06 |===================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 5.72 |===================================================================== b . 5.71 |===================================================================== c . 5.72 |===================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 58.32 |==================================================================== b . 58.41 |==================================================================== c . 58.58 |==================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 2.59 |================================================================ b . 2.67 |================================================================== c . 2.79 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 9.69 |==================================================================== b . 9.89 |===================================================================== c . 9.76 |==================================================================== NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 2.78 |===================================================================== b . 2.78 |===================================================================== c . 2.76 |===================================================================== NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 2.51 |===================================================================== b . 2.52 |===================================================================== c . 2.52 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 2.12 |==================================================================== b . 2.14 |===================================================================== c . 2.12 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 2.48 |===================================================================== b . 2.49 |===================================================================== c . 2.48 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 3.82 |===================================================================== b . 3.83 |===================================================================== c . 3.83 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 0.74 |==================================================================== b . 0.75 |===================================================================== c . 0.75 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 7.47 |===================================================================== b . 7.49 |===================================================================== c . 7.46 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 36.11 |==================================================================== b . 36.07 |==================================================================== c . 36.32 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 5.35 |===================================================================== b . 5.36 |===================================================================== c . 5.35 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 5.38 |===================================================================== b . 5.31 |==================================================================== c . 5.35 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 11.38 |=================================================================== b . 11.50 |==================================================================== c . 11.53 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 15.83 |==================================================================== b . 15.88 |==================================================================== c . 15.88 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 7.00 |===================================================================== b . 7.00 |===================================================================== c . 6.98 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 5.67 |==================================================================== b . 5.77 |===================================================================== c . 5.71 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 58.09 |================================================================== b . 60.14 |==================================================================== c . 60.20 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 2.67 |===================================================================== b . 2.63 |==================================================================== c . 2.63 |====================================================================