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
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
Mixbench 2020-06-23
Backend: OpenCL - Benchmark: Integer
Mixbench 2020-06-23
Backend: OpenCL - Benchmark: Double Precision
Mixbench 2020-06-23
Backend: OpenCL - Benchmark: Single Precision
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: Texture Read Bandwidth
cl-mem 2017-01-13
Benchmark: Copy
cl-mem 2017-01-13
Benchmark: Read
cl-mem 2017-01-13
Benchmark: Write
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
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
NeatBench 5
Acceleration: GPU
FPS > Higher Is Better
egeo-015-gpu_1.conf . 32.1 |===================================================
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 |=================================================
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 |===================================================
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 |===============================================
ViennaCL 1.7.1
Test: OpenCL BLAS
GFLOPS > Higher Is Better
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 |===================================================
Mixbench 2020-06-23
Backend: NVIDIA CUDA - Benchmark: Integer
GIOPS > Higher Is Better
egeo-015-gpu_1.conf . 10231.17 |===============================================
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 |=================================================
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 |===================================================
LeelaChessZero 0.28
Backend: OpenCL
Nodes Per Second > Higher Is Better
FAHBench 2.3.2
Ns Per Day > Higher Is Better
GROMACS 2023
Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
MandelGPU 1.3pts1
OpenCL Device: GPU
Samples/sec > Higher Is Better
ArrayFire 3.7
Test: Conjugate Gradient OpenCL
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
FinanceBench 2016-07-25
Benchmark: Black-Scholes OpenCL
ms < Lower Is Better
egeo-015-gpu_1.conf . 0.506 |==================================================
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 |=================================================
RedShift Demo 3.0
Seconds < Lower Is Better
Rodinia 3.1
Test: OpenCL Particle Filter
Seconds < Lower 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 |==================================================