phoenix_tes1

AMD Ryzen 7 7700X 8-Core testing with a MSI PRO B650-P WIFI (MS-7D78) v1.0 (1.B0 BIOS) and NVIDIA GeForce RTX 3090 Ti 24GB on Ubuntu 23.04 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 2404219-NE-PHOENIXTE43
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first_test_nvidia
April 20
  7 Hours, 59 Minutes
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phoenix_tes1 Suite 1.0.0 System Test suite extracted from phoenix_tes1. pts/vkpeak-1.1.0 fp32-scalar pts/vkpeak-1.1.0 fp32-vec4 pts/vkpeak-1.1.0 fp16-scalar pts/vkpeak-1.1.0 fp16-vec4 pts/vkpeak-1.1.0 fp64-scalar pts/vkpeak-1.1.0 fp64-vec4 pts/vkpeak-1.1.0 int32-scalar pts/vkpeak-1.1.0 int32-vec4 pts/vkpeak-1.1.0 int16-scalar pts/vkpeak-1.1.0 int16-vec4 pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 Scale: 2x - Denoise: 3 - TAA: No pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/vkfft-1.3.0 -vkfft 6 Test: FFT + iFFT R2C / C2R pts/vkfft-1.3.0 -vkfft 2 Test: FFT + iFFT C2C 1D batched in half precision pts/vkfft-1.3.0 -vkfft 7 Test: FFT + iFFT C2C Bluestein in single precision pts/vkfft-1.3.0 -vkfft 1 Test: FFT + iFFT C2C 1D batched in double precision pts/vkfft-1.3.0 -vkfft 0 Test: FFT + iFFT C2C 1D batched in single precision pts/vkfft-1.3.0 -vkfft 3 Test: FFT + iFFT C2C multidimensional in single precision pts/vkfft-1.3.0 -vkfft 8 Test: FFT + iFFT C2C Bluestein benchmark in double precision pts/vkfft-1.3.0 -vkfft 5 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling pts/hashcat-1.1.1 -m 0 Benchmark: MD5 pts/hashcat-1.1.1 -m 100 Benchmark: SHA1 pts/hashcat-1.1.1 -m 11600 Benchmark: 7-Zip pts/hashcat-1.1.1 -m 1700 Benchmark: SHA-512 pts/hashcat-1.1.1 -m 6211 Benchmark: TrueCrypt RIPEMD160 + XTS pts/mixbench-1.1.1 mixbench-ocl-ro GIOPS Backend: OpenCL - Benchmark: Integer pts/mixbench-1.1.1 mixbench-cuda-ro GIOPS Backend: NVIDIA CUDA - Benchmark: Integer pts/mixbench-1.1.1 mixbench-ocl-ro DPGFLOPS Backend: OpenCL - Benchmark: Double Precision pts/mixbench-1.1.1 mixbench-ocl-ro SPGFLOPS Backend: OpenCL - Benchmark: Single Precision pts/mixbench-1.1.1 mixbench-cuda-ro HPGFLOPS Backend: NVIDIA CUDA - Benchmark: Half Precision pts/mixbench-1.1.1 mixbench-cuda-ro DPGFLOPS Backend: NVIDIA CUDA - Benchmark: Double Precision pts/mixbench-1.1.1 mixbench-cuda-ro SPGFLOPS Backend: NVIDIA CUDA - Benchmark: Single Precision pts/shoc-1.2.0 -opencl -benchmark S3D Target: OpenCL - Benchmark: S3D pts/shoc-1.2.0 -opencl -benchmark Triad Target: OpenCL - Benchmark: Triad pts/shoc-1.2.0 -opencl -benchmark FFT Target: OpenCL - Benchmark: FFT SP pts/shoc-1.2.0 -opencl -benchmark MD5Hash Target: OpenCL - Benchmark: MD5 Hash pts/shoc-1.2.0 -opencl -benchmark Reduction Target: OpenCL - Benchmark: Reduction pts/shoc-1.2.0 -opencl -benchmark GEMM Target: OpenCL - Benchmark: GEMM SGEMM_N pts/shoc-1.2.0 -opencl -benchmark MaxFlops Target: OpenCL - Benchmark: Max SP Flops pts/shoc-1.2.0 -opencl -benchmark BusSpeedDownload Target: OpenCL - Benchmark: Bus Speed Download pts/shoc-1.2.0 -opencl -benchmark BusSpeedReadback Target: OpenCL - Benchmark: Bus Speed Readback pts/shoc-1.2.0 -opencl -benchmark DeviceMemory Target: OpenCL - Benchmark: Texture Read Bandwidth pts/libplacebo-1.2.0 pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/cl-mem-1.0.1 READ Benchmark: Read pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/namd-cuda-1.1.1 ATPase Simulation - 327,506 Atoms pts/betsy-1.0.0 --codec=etc1 --quality=2 Codec: ETC1 - Quality: Highest pts/betsy-1.0.0 --codec=etc2_rgb --quality=2 Codec: ETC2 RGB - Quality: Highest pts/vkresample-1.0.2 -u 2 -p 1 Upscale: 2x - Precision: Double pts/vkresample-1.0.2 -u 2 -p 0 Upscale: 2x - Precision: Single pts/octanebench-1.3.0 Total Score pts/redshift-1.0.1 pts/fahbench-1.0.2 pts/clpeak-1.1.0 --compute-integer OpenCL Test: Integer Compute INT pts/clpeak-1.1.0 --compute-sp OpenCL Test: Single-Precision Float pts/clpeak-1.1.0 --compute-dp OpenCL Test: Double-Precision Double pts/clpeak-1.1.0 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/lczero-1.7.0 -b opencl Backend: OpenCL pts/rodinia-1.3.2 OCL_PARTICLEFILTER Test: OpenCL Particle Filter pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: DLSC - Acceleration: GPU pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Danish Mood - Acceleration: GPU pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Orange Juice - Acceleration: GPU pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: LuxCore Benchmark - Acceleration: GPU pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Rainbow Colors and Prism - Acceleration: GPU pts/arrayfire-1.2.0 cg_opencl Test: Conjugate Gradient OpenCL pts/financebench-1.1.1 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - sCOPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - sAXPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - sDOT pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dCOPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dAXPY pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dDOT pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMV-N pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMV-T pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-NN pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-NT pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-TN pts/viennacl-1.1.0 dense_blas-bench-cpu Test: CPU BLAS - dGEMM-TT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - sCOPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - sAXPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - sDOT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dCOPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dAXPY pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dDOT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMV-N pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMV-T pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-NN pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-NT pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-TN pts/viennacl-1.1.0 dense_blas-bench-opencl Test: OpenCL BLAS - dGEMM-TT pts/gromacs-1.9.0 cuda-build water-cut1.0_GMX50_bare/1536 Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 100 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 200 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 1000 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 100 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 200 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 1000 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.5.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.5.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.5.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.5.0 Target: Vulkan GPU - Model: regnety_400m pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vision_transformer pts/ncnn-1.5.0 Target: Vulkan GPU - Model: FastestDet pts/plaidml-1.0.4 --no-fp16 --train mobilenet OPENCL FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm OPENCL FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet OPENCL FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train densenet201 OPENCL FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL pts/blender-4.1.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device OPTIX Blend File: BMW27 - Compute: NVIDIA OptiX pts/blender-4.1.0 -b ../junkshop.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device OPTIX Blend File: Junkshop - Compute: NVIDIA OptiX pts/blender-4.1.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device OPTIX Blend File: Classroom - Compute: NVIDIA OptiX pts/blender-4.1.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device OPTIX Blend File: Fishy Cat - Compute: NVIDIA OptiX pts/blender-4.1.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device OPTIX Blend File: Barbershop - Compute: NVIDIA OptiX pts/blender-4.1.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX pts/indigobench-1.1.0 --gpuonly --scenes bedroom Acceleration: OpenCL GPU - Scene: Bedroom pts/indigobench-1.1.0 --gpuonly --scenes supercar Acceleration: OpenCL GPU - Scene: Supercar pts/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/neatbench-1.0.4 gpu Acceleration: GPU pts/v-ray-1.5.0 -m vray-gpu-rtx Mode: NVIDIA RTX GPU pts/v-ray-1.5.0 -m vray-gpu-cuda Mode: NVIDIA CUDA GPU