egeo-015-gpu

docker testing on Ubuntu 20.04.4 LTS 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 2307179-NE-EGEO015GP80
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BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 3 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 5 Tests
Multi-Core 6 Tests
NVIDIA GPU Compute 20 Tests
OpenCL 6 Tests
OpenMPI Tests 2 Tests
Python Tests 2 Tests
Renderers 2 Tests
Scientific Computing 2 Tests
Server CPU Tests 2 Tests
Common Workstation Benchmarks 2 Tests

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egeo-015-gpu.conf
July 16 2023
  1 Minute
egeo-015-gpu_1.conf
July 16 2023
  3 Days, 8 Hours, 3 Minutes
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egeo-015-gpu docker testing on Ubuntu 20.04.4 LTS via the Phoronix Test Suite. ,,"egeo-015-gpu.conf","egeo-015-gpu_1.conf" Processor,,2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads),2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads) Motherboard,,Dell 0DY2X0 (2.16.2 BIOS),Dell 0DY2X0 (2.16.2 BIOS) Memory,,64GB,64GB Disk,,2000GB TOSHIBA DT01ACA2,2000GB TOSHIBA DT01ACA2 Graphics,,NVIDIA Quadro RTX 5000 15GB,NVIDIA Quadro RTX 5000 15GB OS,,Ubuntu 20.04.4 LTS,Ubuntu 20.04.4 LTS Kernel,,5.10.0-23-amd64 (x86_64),5.10.0-23-amd64 (x86_64) Display Driver,,NVIDIA,NVIDIA Vulkan,,1.1.182,1.1.182 Compiler,,GCC 9.4.0,GCC 9.4.0 + CUDA 10.1 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 System Layer,,docker,docker OpenCL,,,OpenCL 3.0 CUDA 12.0.151 ,,"egeo-015-gpu.conf","egeo-015-gpu_1.conf" "NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,,133.94 "NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,,7630.70 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,,261.12 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,,639.69 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,,930.24 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,,1260.25 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,,555.82 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,,517.81 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,,2955.35 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,,560.47 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,,55.28 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,,336.65 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,,208.00 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,,126.85 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,186.57 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,201.11 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,,622.66 "Blender - Blend File: Barbershop - Compute: NVIDIA OptiX (sec)",LIB,,144.62 "Blender - Blend File: Fishy Cat - Compute: NVIDIA OptiX (sec)",LIB,,25.73 "LuxCoreRender - Scene: DLSC - Acceleration: GPU (M samples/sec)",HIB,,4.36 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: GPU (M samples/sec)",HIB,, "Blender - Blend File: BMW27 - Compute: NVIDIA OptiX (sec)",LIB,,15.25 "Blender - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX (sec)",LIB,,46.92 "Blender - Blend File: Classroom - Compute: NVIDIA OptiX (sec)",LIB,,36.99 "ViennaCL - Test: CPU BLAS - dGEMM-TT (GFLOPs/s)",HIB,,39.6 "ViennaCL - Test: CPU BLAS - dGEMM-TN (GFLOPs/s)",HIB,,40.7 "ViennaCL - Test: CPU BLAS - dGEMM-NT (GFLOPs/s)",HIB,,37.9 "ViennaCL - Test: CPU BLAS - dGEMM-NN (GFLOPs/s)",HIB,,39.8 "ViennaCL - Test: CPU BLAS - dGEMV-T (GB/s)",HIB,,80.6 "ViennaCL - Test: CPU BLAS - dGEMV-N (GB/s)",HIB,,68.8 "ViennaCL - Test: CPU BLAS - dDOT (GB/s)",HIB,,71.3 "ViennaCL - Test: CPU BLAS - dAXPY (GB/s)",HIB,,65.3 "ViennaCL - Test: CPU BLAS - dCOPY (GB/s)",HIB,,43.5 "ViennaCL - Test: CPU BLAS - sDOT (GB/s)",HIB,,89.5 "ViennaCL - Test: CPU BLAS - sAXPY (GB/s)",HIB,,83.3 "ViennaCL - Test: CPU BLAS - sCOPY (GB/s)",HIB,,54.9 "LuxCoreRender - Scene: Orange Juice - Acceleration: GPU (M samples/sec)",HIB,, "LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: GPU (M samples/sec)",HIB,,7.93 "LuxCoreRender - Scene: Danish Mood - Acceleration: GPU (M samples/sec)",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Readback (GB/s)",HIB,,9.3123 "Hashcat - Benchmark: TrueCrypt RIPEMD160 + XTS (H/s)",HIB,,438933 "Hashcat - Benchmark: SHA-512 (H/s)",HIB,,1746666667 "Hashcat - Benchmark: 7-Zip (H/s)",HIB,,546133 "PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,, "Hashcat - Benchmark: MD5 (H/s)",HIB,,35015366667 "Hashcat - Benchmark: SHA1 (H/s)",HIB,,12259133333 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Download (GB/s)",HIB,,8.1957 "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL (Examples/sec)",HIB,, "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,, "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,, "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL (Examples/sec)",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Texture Read Bandwidth ()",HIB,, "FAHBench - (Ns/Day)",HIB,, "FinanceBench - Benchmark: Black-Scholes OpenCL (ms)",LIB,,0.506 "NeatBench - Acceleration: GPU (FPS)",HIB,,32.1 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Integer (GIOPS)",HIB,,10231.17 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: S3D ()",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Triad ()",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: GEMM SGEMM_N ()",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Reduction ()",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: MD5 Hash ()",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: FFT SP ()",HIB,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Max SP Flops ()",HIB,, "Mixbench - Backend: NVIDIA CUDA - Benchmark: Half Precision (GFLOPS)",HIB,,22951.08 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Single Precision (GFLOPS)",HIB,,11495.48 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Double Precision (GFLOPS)",HIB,,307.92 "LeelaChessZero - Backend: OpenCL (Nodes/s)",HIB,, "Mixbench - Backend: OpenCL - Benchmark: Integer ()",HIB,, "Mixbench - Backend: OpenCL - Benchmark: Single Precision ()",HIB,, "Mixbench - Backend: OpenCL - Benchmark: Double Precision ()",HIB,, "Rodinia - Test: OpenCL Particle Filter (sec)",LIB,, "ArrayFire - Test: Conjugate Gradient OpenCL ()",LIB,, "MandelGPU - OpenCL Device: GPU (Samples/sec)",HIB,, "ViennaCL - Test: OpenCL BLAS (GFLOPS)",HIB,, "clpeak - OpenCL Test: Integer Compute INT ()",HIB,, "cl-mem - Benchmark: Copy ()",HIB,, "cl-mem - Benchmark: Write ()",HIB,, "clpeak - OpenCL Test: Double-Precision Double ()",HIB,, "cl-mem - Benchmark: Read ()",HIB,, "clpeak - OpenCL Test: Global Memory Bandwidth ()",HIB,, "clpeak - OpenCL Test: Single-Precision Float ()",HIB,, "RedShift Demo - (sec)",LIB,, "GROMACS - Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare (Ns/Day)",HIB,, "Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 (ms)",LIB,, "Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 (ms)",LIB,, "Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 (ms)",LIB,, "Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 (ms)",LIB,, "Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 (ms)",LIB,, "Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 (ms)",LIB,,