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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2308019-NE-VULKAN68087
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","b"
Processor,,Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads),Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)
Motherboard,,ASUS PRIME Z790-P WIFI (0812 BIOS),ASUS PRIME Z790-P WIFI (0812 BIOS)
Chipset,,Intel Device 7a27,Intel Device 7a27
Memory,,32GB,32GB
Disk,,1000GB Western Digital WDS100T1X0E-00AFY0 + 2 x 64GB Flash Drive,1000GB Western Digital WDS100T1X0E-00AFY0 + 2 x 64GB Flash Drive
Graphics,,AMD Radeon RX 6800 XT 16GB (2575/1000MHz),AMD Radeon RX 6800 XT 16GB (2575/1000MHz)
Audio,,Realtek ALC897,Realtek ALC897
Monitor,,ASUS VP28U,ASUS VP28U
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-50-generic (x86_64),5.19.0-50-generic (x86_64)
Desktop,,GNOME Shell 42.9,GNOME Shell 42.9
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.2.5-0ubuntu0.1~22.04.3 (LLVM 15.0.7 DRM 3.47),4.6 Mesa 22.2.5-0ubuntu0.1~22.04.3 (LLVM 15.0.7 DRM 3.47)
Vulkan,,1.3.224,1.3.224
Compiler,,GCC 11.4.0,GCC 11.4.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"a","b"
"VkFFT - Test: FFT + iFFT R2C / C2R (Benchmark Score)",HIB,59316,57474
"VkFFT - Test: FFT + iFFT C2C 1D batched in half precision (Benchmark Score)",HIB,127229,128044
"VkFFT - Test: FFT + iFFT C2C Bluestein in single precision (Benchmark Score)",HIB,14811,14334
"VkFFT - Test: FFT + iFFT C2C 1D batched in double precision (Benchmark Score)",HIB,28285,28242
"VkFFT - Test: FFT + iFFT C2C 1D batched in single precision (Benchmark Score)",HIB,65298,65337
"VkFFT - Test: FFT + iFFT C2C multidimensional in single precision (Benchmark Score)",HIB,45096,43591
"VkFFT - Test: FFT + iFFT C2C Bluestein benchmark in double precision (Benchmark Score)",HIB,6949,6926
"VkFFT - Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling (Benchmark Score)",HIB,69116,69137
"vkpeak - fp32-scalar (GFLOPS)",HIB,22073.26,21822.47
"vkpeak - fp32-vec4 (GFLOPS)",HIB,21484.21,22328.13
"vkpeak - fp16-scalar (GFLOPS)",HIB,21527.05,22233.82
"vkpeak - fp16-vec4 (GFLOPS)",HIB,33775.49,34040.48
"vkpeak - fp64-scalar (GFLOPS)",HIB,1413.6,1416.24
"vkpeak - fp64-vec4 (GFLOPS)",HIB,1411.86,1414.33
"vkpeak - int32-scalar (GIOPS)",HIB,3834.89,3850.03
"vkpeak - int32-vec4 (GIOPS)",HIB,4477.62,4497.58
"vkpeak - int16-scalar (GIOPS)",HIB,21383.73,22064.23
"vkpeak - int16-vec4 (GIOPS)",HIB,33053.14,33941.93
"VkResample - Upscale: 2x - Precision: Single (ms)",LIB,8.492,8.491
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,7.51,7.06
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.02,1.9
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,1.79,2.35
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,1.77,2.37
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,1.9,2.38
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,3.37,4.08
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.65,0.91
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,5.51,6.35
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,40.26,19.08
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,4.1,4.16
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,3.84,3.87
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,8.47,8.2
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,10.84,10.7
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,5.65,4.82
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,5.4,7.07
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,1336.94,1018.84
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,2.17,2.46
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,7.22,8.51
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.24,2.47
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,1.81,1.73
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,1.83,1.77
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,2.02,1.79
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,3.69,3.34
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,0.87,0.76
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,6.31,5.79
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,19.05,20.02
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,4.16,4.18
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,3.94,4.07
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,8.25,8.49
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,11.19,13.63
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,5.28,5.6
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,6.86,5.86
"NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,1249.17,1301.13
"NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,2.45,2.17