egeo-015-gpu docker testing on Ubuntu 20.04.4 LTS via the Phoronix Test Suite. egeo-015-gpu.conf: Processor: 2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Dell 0DY2X0 (2.16.2 BIOS), Memory: 64GB, Disk: 2000GB TOSHIBA DT01ACA2, Graphics: NVIDIA Quadro RTX 5000 15GB OS: Ubuntu 20.04.4 LTS, Kernel: 5.10.0-23-amd64 (x86_64), Display Driver: NVIDIA, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: docker egeo-015-gpu_1.conf: Processor: 2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Dell 0DY2X0 (2.16.2 BIOS), Memory: 64GB, Disk: 2000GB TOSHIBA DT01ACA2, Graphics: NVIDIA Quadro RTX 5000 15GB OS: Ubuntu 20.04.4 LTS, Kernel: 5.10.0-23-amd64 (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.0.151, Vulkan: 1.1.182, Compiler: GCC 9.4.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1024x768, System Layer: docker Hashcat 6.2.4 Benchmark: MD5 H/s > Higher Is Better egeo-015-gpu_1.conf . 35015366667 |============================================ Hashcat 6.2.4 Benchmark: SHA1 H/s > Higher Is Better egeo-015-gpu_1.conf . 12259133333 |============================================ Hashcat 6.2.4 Benchmark: 7-Zip H/s > Higher Is Better egeo-015-gpu_1.conf . 546133 |================================================= Hashcat 6.2.4 Benchmark: SHA-512 H/s > Higher Is Better egeo-015-gpu_1.conf . 1746666667 |============================================= Hashcat 6.2.4 Benchmark: TrueCrypt RIPEMD160 + XTS H/s > Higher Is Better egeo-015-gpu_1.conf . 438933 |================================================= Mixbench 2020-06-23 Backend: OpenCL - Benchmark: Integer Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Integer GIOPS > Higher Is Better egeo-015-gpu_1.conf . 10231.17 |=============================================== Mixbench 2020-06-23 Backend: OpenCL - Benchmark: Double Precision Mixbench 2020-06-23 Backend: OpenCL - Benchmark: Single Precision Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Half Precision GFLOPS > Higher Is Better egeo-015-gpu_1.conf . 22951.08 |=============================================== Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Double Precision GFLOPS > Higher Is Better egeo-015-gpu_1.conf . 307.92 |================================================= Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Single Precision GFLOPS > Higher Is Better egeo-015-gpu_1.conf . 11495.48 |=============================================== SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: S3D SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Triad SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: FFT SP SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: MD5 Hash SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Reduction SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: GEMM SGEMM_N SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Max SP Flops SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Bus Speed Download GB/s > Higher Is Better egeo-015-gpu_1.conf . 8.1957 |================================================= SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Bus Speed Readback GB/s > Higher Is Better egeo-015-gpu_1.conf . 9.3123 |================================================= SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Texture Read Bandwidth cl-mem 2017-01-13 Benchmark: Copy cl-mem 2017-01-13 Benchmark: Read cl-mem 2017-01-13 Benchmark: Write RedShift Demo 3.0 Seconds < Lower Is Better FAHBench 2.3.2 Ns Per Day > Higher Is Better clpeak 1.1.2 OpenCL Test: Integer Compute INT clpeak 1.1.2 OpenCL Test: Single-Precision Float clpeak 1.1.2 OpenCL Test: Double-Precision Double clpeak 1.1.2 OpenCL Test: Global Memory Bandwidth LeelaChessZero 0.28 Backend: OpenCL Nodes Per Second > Higher Is Better Rodinia 3.1 Test: OpenCL Particle Filter Seconds < Lower Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL LuxCoreRender 2.6 Scene: DLSC - Acceleration: GPU M samples/sec > Higher Is Better egeo-015-gpu_1.conf . 4.36 |=================================================== LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: GPU M samples/sec > Higher Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: GPU M samples/sec > Higher Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: GPU M samples/sec > Higher Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: GPU M samples/sec > Higher Is Better egeo-015-gpu_1.conf . 7.93 |=================================================== FinanceBench 2016-07-25 Benchmark: Black-Scholes OpenCL ms < Lower Is Better egeo-015-gpu_1.conf . 0.506 |================================================== ViennaCL 1.7.1 Test: CPU BLAS - sCOPY GB/s > Higher Is Better egeo-015-gpu_1.conf . 54.9 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - sAXPY GB/s > Higher Is Better egeo-015-gpu_1.conf . 83.3 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - sDOT GB/s > Higher Is Better egeo-015-gpu_1.conf . 89.5 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dCOPY GB/s > Higher Is Better egeo-015-gpu_1.conf . 43.5 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dAXPY GB/s > Higher Is Better egeo-015-gpu_1.conf . 65.3 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dDOT GB/s > Higher Is Better egeo-015-gpu_1.conf . 71.3 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-N GB/s > Higher Is Better egeo-015-gpu_1.conf . 68.8 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-T GB/s > Higher Is Better egeo-015-gpu_1.conf . 80.6 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NN GFLOPs/s > Higher Is Better egeo-015-gpu_1.conf . 39.8 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NT GFLOPs/s > Higher Is Better egeo-015-gpu_1.conf . 37.9 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TN GFLOPs/s > Higher Is Better egeo-015-gpu_1.conf . 40.7 |=================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TT GFLOPs/s > Higher Is Better egeo-015-gpu_1.conf . 39.6 |=================================================== ViennaCL 1.7.1 Test: OpenCL BLAS GFLOPS > Higher Is Better GROMACS 2023 Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 Milli-Seconds < Lower Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 Milli-Seconds < Lower Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 Milli-Seconds < Lower Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 Milli-Seconds < Lower Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 Milli-Seconds < Lower Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 Milli-Seconds < Lower Is Better NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better egeo-015-gpu_1.conf . 622.66 |================================================= NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better egeo-015-gpu_1.conf . 201.11 |================================================= NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better egeo-015-gpu_1.conf . 186.57 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better egeo-015-gpu_1.conf . 126.85 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better egeo-015-gpu_1.conf . 208.00 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better egeo-015-gpu_1.conf . 336.65 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better egeo-015-gpu_1.conf . 55.28 |================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better egeo-015-gpu_1.conf . 560.47 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better egeo-015-gpu_1.conf . 2955.35 |================================================ NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better egeo-015-gpu_1.conf . 517.81 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better egeo-015-gpu_1.conf . 555.82 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better egeo-015-gpu_1.conf . 1260.25 |================================================ NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better egeo-015-gpu_1.conf . 930.24 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better egeo-015-gpu_1.conf . 639.69 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better egeo-015-gpu_1.conf . 261.12 |================================================= NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better egeo-015-gpu_1.conf . 7630.70 |================================================ NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better egeo-015-gpu_1.conf . 133.94 |================================================= PlaidML FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL Examples Per Second > Higher Is Better Blender 3.6 Blend File: BMW27 - Compute: NVIDIA OptiX Seconds < Lower Is Better egeo-015-gpu_1.conf . 15.25 |================================================== Blender 3.6 Blend File: Classroom - Compute: NVIDIA OptiX Seconds < Lower Is Better egeo-015-gpu_1.conf . 36.99 |================================================== Blender 3.6 Blend File: Fishy Cat - Compute: NVIDIA OptiX Seconds < Lower Is Better egeo-015-gpu_1.conf . 25.73 |================================================== Blender 3.6 Blend File: Barbershop - Compute: NVIDIA OptiX Seconds < Lower Is Better egeo-015-gpu_1.conf . 144.62 |================================================= Blender 3.6 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX Seconds < Lower Is Better egeo-015-gpu_1.conf . 46.92 |================================================== MandelGPU 1.3pts1 OpenCL Device: GPU Samples/sec > Higher Is Better NeatBench 5 Acceleration: GPU FPS > Higher Is Better egeo-015-gpu_1.conf . 32.1 |===================================================