ngc

AMD Ryzen Threadripper PRO 7995WX 96-Cores testing with a HP 8B24 (U65 Ver. 01.01.04 BIOS) and NVIDIA RTX A4000 16GB on Ubuntu 23.10 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 2401055-PTS-NGC5442844
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
January 05
  15 Hours, 58 Minutes
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ngc, "Chaos Group V-RAY 5.02 - Mode: NVIDIA CUDA GPU", Higher Results Are Better "a",1189,1172,1185 "Chaos Group V-RAY 5.02 - Mode: NVIDIA RTX GPU", Higher Results Are Better "a",1615,1838,1813,1806,1812,1808,1801,1836,1773,1768,1808,1799 "MandelGPU 1.3pts1 - OpenCL Device: GPU", Higher Results Are Better "a",345546202.8,346094349.3,348765380.5 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Supercar", Higher Results Are Better "a",31.861,31.739,31.697 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Bedroom", Higher Results Are Better "a",11.266,11.172,11.159 "Blender 4.0 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX", Lower Results Are Better "a",32.09,32.24,32.26 "Blender 4.0 - Blend File: Barbershop - Compute: NVIDIA OptiX", Lower Results Are Better "a",101.09,100.85,101.04 "Blender 4.0 - Blend File: Fishy Cat - Compute: NVIDIA OptiX", Lower Results Are Better "a",20.72,20,20.04 "Blender 4.0 - Blend File: Classroom - Compute: NVIDIA OptiX", Lower Results Are Better "a",28.62,28.76,29.01 "Blender 4.0 - Blend File: BMW27 - Compute: NVIDIA OptiX", Lower Results Are Better "a",12.02,11.14,11.18,11.19,11.23,11.28,11.25,11.29,11.27 "NCNN 20230517 - Target: Vulkan GPU - Model: FastestDet", Lower Results Are Better "a",18.1,18.8,18.83,18.03,18.08,18.17,16.4,18.91,18.25,18.27,18.74,18.2 "NCNN 20230517 - Target: Vulkan GPU - Model: vision_transformer", Lower Results Are Better "a",44.88,45.9,43.41,43.32,43.39,44.76,43.83,44.34,44.06,43.64,44.62,43.84 "NCNN 20230517 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "a",55.07,58.99,56.87,58.15,55.78,56.63,56.49,56.14,56.23,56.34,58.9,55.66 "NCNN 20230517 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "a",26.37,26.71,28.95,26.11,26.29,26.62,26.48,26.79,26.22,26.3,26.68,26.02 "NCNN 20230517 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "a",32.36,33.33,34.9,35.29,36.39,36.1,32.12,35.89,33.06,33.71,33.59,36.41 "NCNN 20230517 - Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3", Lower Results Are Better "a",20.43,20.51,21.78,21.03,21.38,21.86,19.42,20.57,20.49,21.58,20.85,19.01 "NCNN 20230517 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "a",7.17,7.08,7.21,7.08,7.11,7.17,7.22,7.08,7.07,7.26,7.18,7.16 "NCNN 20230517 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "a",13.95,12.92,12.66,12.53,11.88,11.91,12.42,12.14,11.89,12.12,12.13,13.9 "NCNN 20230517 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "a",37.45,33.61,36.63,35.47,36.22,35.92,34.53,34.82,36.21,36.21,37.59,35.6 "NCNN 20230517 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "a",25.32,25.2,25.43,25.26,25.48,25.86,26.04,25.57,25.26,25.82,25.08,25.2 "NCNN 20230517 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "a",7.06,7.89,7.37,7.59,7.32,7.36,7.42,7.34,7.28,7.38,8.22,7.24 "NCNN 20230517 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "a",16.54,17.3,16.9,17.14,16.61,16.77,16.83,17.47,16.69,16.74,17.46,16.67 "NCNN 20230517 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "a",11.68,12.22,11.71,11.75,11.78,11.59,11.64,12.12,11.27,11.76,11.75,11.54 "NCNN 20230517 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "a",16.26,17.74,16.47,17.18,17.58,16.08,16.59,17.86,15.89,16.08,17.13,16.28 "NCNN 20230517 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "a",12.35,14.33,13.73,13.93,13.72,13.66,13.84,14.13,13.46,13.76,13.85,13.75 "NCNN 20230517 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "a",11.36,12.74,12.53,12.49,12.47,12.2,12.5,12.53,12.04,12.33,12.66,12.32 "NCNN 20230517 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "a",20.43,20.51,21.78,21.03,21.38,21.86,19.42,20.57,20.49,21.58,20.85,19.01 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-TT", Higher Results Are Better "a",319,324,324,322 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-TN", Higher Results Are Better "a",319,324,324,322 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NT", Higher Results Are Better "a",320,325,325,322 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NN", Higher Results Are Better "a",319,323,324,322 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-T", Higher Results Are Better "a",299,302,303,302 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-N", Higher Results Are Better "a",161,163,164,164 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dDOT", Higher Results Are Better "a",362,367,371,371 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dAXPY", Higher Results Are Better "a",358,363,367,367 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dCOPY", Higher Results Are Better "a",327,331,335,335 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sDOT", Higher Results Are Better "a",289,298,303,303 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sAXPY", Higher Results Are Better "a",317,324,330,330 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sCOPY", Higher Results Are Better "a",251,256,264,263 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TT", Higher Results Are Better "a",137,131,127,132,133,126,132,122,130,123,132,130,133,121,133 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TN", Higher Results Are Better "a",141,139,127,135,130,127,137,136,137,137,138,135,127,137,134 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NT", Higher Results Are Better "a",119,125,124,122,124,112,121,118,122,122,123,117,116,121,127 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NN", Higher Results Are Better "a",124,134,128,120,134,121,127,120,133,120,126,131,121,132,133 "FinanceBench 2016-07-25 - Benchmark: Black-Scholes OpenCL", Lower Results Are Better "a",10.488,10.477,10.92 "ArrayFire 3.9 - Test: Conjugate Gradient OpenCL", Lower Results Are Better "a",2.235,2.34,2.325 "LuxCoreRender 2.6 - Scene: Rainbow Colors and Prism - Acceleration: GPU", Higher Results Are Better "a",18.96,18.86,18.79 "LuxCoreRender 2.6 - Scene: LuxCore Benchmark - Acceleration: GPU", Higher Results Are Better "a",6.19,6.09,6.08 "LuxCoreRender 2.6 - Scene: Orange Juice - Acceleration: GPU", Higher Results Are Better "a",6.5,6.47,6.55 "LuxCoreRender 2.6 - Scene: Danish Mood - Acceleration: GPU", Higher Results Are Better "a",5.04,5.01,5.02 "LuxCoreRender 2.6 - Scene: DLSC - Acceleration: GPU", Higher Results Are Better "a",6.4,6.23,6.21 "Rodinia 3.1 - Test: OpenCL Particle Filter", Lower Results Are Better "a",6.716,6.536,6.411 "clpeak 1.1.2 - OpenCL Test: Global Memory Bandwidth", Higher Results Are Better "a",361.61,360.56,361.69 "clpeak 1.1.2 - OpenCL Test: Double-Precision Double", Higher Results Are Better "a",348.43,346.89,345.98 "clpeak 1.1.2 - OpenCL Test: Single-Precision Float", Higher Results Are Better "a",17963.58,18048.71,17939.09 "clpeak 1.1.2 - OpenCL Test: Integer Compute INT", Higher Results Are Better "a",9254.29,8977.62,9117.97 "FAHBench 2.3.2 - ", Higher Results Are Better "a",225.1032,224.4029,224.1928 "OctaneBench 2020.1 - Total Score", Higher Results Are Better "a", "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "a",22.086,22.125,22.076 "VkResample 1.0 - Upscale: 2x - Precision: Double", Lower Results Are Better "a",500.007,500.009,500.007 "NAMD CUDA 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "a",0.111306,0.116236,0.12033,0.128845,0.131253,0.12978,0.126936,0.133757,0.128854,0.13219,0.12986,0.131813,0.127468,0.127828,0.131637 "cl-mem 2017-01-13 - Benchmark: Write", Higher Results Are Better "a",349.4,347.6,348.9 "cl-mem 2017-01-13 - Benchmark: Read", Higher Results Are Better "a",366.6,365.5,366.2 "cl-mem 2017-01-13 - Benchmark: Copy", Higher Results Are Better "a",273.1,272.5,273.3 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Texture Read Bandwidth", Higher Results Are Better "a",2015.85,2001.74,1997.92 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Bus Speed Readback", Higher Results Are Better "a",27.0843,27.0844,27.0843 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Bus Speed Download", Higher Results Are Better "a",26.8285,26.8308,26.8301 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Max SP Flops", Higher Results Are Better "a",21410.4,20585,20468.2 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: GEMM SGEMM_N", Higher Results Are Better "a",3409.42,3396.08,3369.47 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Reduction", Higher Results Are Better "a",322.322,323.823,326.002 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: MD5 Hash", Higher Results Are Better "a",22.0157,22.0616,22.361 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: FFT SP", Higher Results Are Better "a",1095.87,1093.48,1092.42 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Triad", Higher Results Are Better "a",24.8603,24.8403,24.8403 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: S3D", Higher Results Are Better "a",209.995,209.424,209.297 "Hashcat 6.2.4 - Benchmark: TrueCrypt RIPEMD160 + XTS", Higher Results Are Better "a",384500,387300,359000,355300,368600,362700,384200,356800,362400,388400,372700,368000,372500,366200,368300 "Hashcat 6.2.4 - Benchmark: SHA-512", Higher Results Are Better "a",1363800000,1349300000,1340800000 "Hashcat 6.2.4 - Benchmark: 7-Zip", Higher Results Are Better "a",515400,517200,523200 "Hashcat 6.2.4 - Benchmark: SHA1", Higher Results Are Better "a",10936800000,10854100000,10713400000 "Hashcat 6.2.4 - Benchmark: MD5", Higher Results Are Better "a",33315200000,33123600000,32934000000 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "a",4.87,4.903,4.895 "RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes", Lower Results Are Better "a",59.621,59.856,60.076 "RealSR-NCNN 20200818 - Scale: 4x - TAA: No", Lower Results Are Better "a",9.948,10.044,10.046 "vkpeak 20230730 - int16-vec4", Higher Results Are Better "a",8676.66,8659.54,8603.07 "vkpeak 20230730 - int16-scalar", Higher Results Are Better "a",7204.68,7187.96,7175.51 "vkpeak 20230730 - int32-vec4", Higher Results Are Better "a",11029.13,10989.69,10979.73 "vkpeak 20230730 - int32-scalar", Higher Results Are Better "a",11275.91,11239.84,11231.57 "vkpeak 20230730 - fp64-vec4", Higher Results Are Better "a",356.23,356.31,356.29 "vkpeak 20230730 - fp64-scalar", Higher Results Are Better "a",356.28,356.18,356.17 "vkpeak 20230730 - fp16-vec4", Higher Results Are Better "a",22317.01,21762.29,21764.26 "vkpeak 20230730 - fp16-scalar", Higher Results Are Better "a",11390.55,10870.55,10851.36 "vkpeak 20230730 - fp32-vec4", Higher Results Are Better "a",15097.22,14335.27,14358.14 "vkpeak 20230730 - fp32-scalar", Higher Results Are Better "a",11587.59,11146.84,11095.88 "NeatBench 5 - Acceleration: GPU", Higher Results Are Better "a", "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL", Higher Results Are Better "a", "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "a", "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "a", "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL", Higher Results Are Better "a", "PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "a", "NCNN 20230517 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "a",22.5,22.98,22.2,25.48,21.99,21.23,25.88,21.77,23.91,23.69,24.5,27.03 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "a", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "a", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "a", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "a", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "a", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "a", "GROMACS 2023 - Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare", Higher Results Are Better "a", "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-T", Higher Results Are Better "a",172,178,149,127,12.8,82.9,192,135,61.6,81.4,241,471,247,87.9,106 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-N", Higher Results Are Better "a",93.7,42.5,49.1,70.9,40.5,28.3,33.2,42.5,48.3,33.4,59.8,23.4,34.1,26.1,27.7 "ViennaCL 1.7.1 - Test: CPU BLAS - dDOT", Higher Results Are Better "a",1010,641,778,320,242,815,570,164,804,248,813,196,794,188,783 "ViennaCL 1.7.1 - Test: CPU BLAS - dAXPY", Higher Results Are Better "a",2180,1900,1580,407,501,1720,1680,479,1350,330,1530,1660,1640,466,1660 "ViennaCL 1.7.1 - Test: CPU BLAS - dCOPY", Higher Results Are Better "a",1510,1320,1130,450,387,911,1100,564,431,431,457,648,381,685,1130 "ViennaCL 1.7.1 - Test: CPU BLAS - sDOT", Higher Results Are Better "a",539,418,328,199,292,203,239,234,247,141,321,221,150,192,198 "ViennaCL 1.7.1 - Test: CPU BLAS - sAXPY", Higher Results Are Better "a",1820,1190,1280,384,776,473,457,718,447,1010,1030,286,467,613,933 "ViennaCL 1.7.1 - Test: CPU BLAS - sCOPY", Higher Results Are Better "a",1330,700,471,615,482,514,495,429,728,587,511,588,391,428,749 "LeelaChessZero 0.30 - Backend: OpenCL", Higher Results Are Better "a", "RedShift Demo 3.0 - ", Lower Results Are Better "a", "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "a", "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "a", "Libplacebo 5.229.1 - ", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Single Precision", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Double Precision", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Half Precision", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Single Precision", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Double Precision", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Integer", Higher Results Are Better "a", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Integer", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C Bluestein benchmark in double precision", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C multidimensional in single precision", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in single precision", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in double precision", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C Bluestein in single precision", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in half precision", Higher Results Are Better "a", "VkFFT 1.2.31 - Test: FFT + iFFT R2C / C2R", Higher Results Are Better "a", "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No", Lower Results Are Better "a",