NVIDIA Compute Tests Suite
1.0.0
System
Test suite extracted from NVIDIA Compute Tests.
pts/hashcat-1.0.0
-m 0
Benchmark: MD5
pts/hashcat-1.0.0
-m 100
Benchmark: SHA1
pts/hashcat-1.0.0
-m 1700
Benchmark: SHA-512
pts/hashcat-1.0.0
-m 11600
Benchmark: 7-Zip
pts/hashcat-1.0.0
-m 6211
Benchmark: TrueCrypt RIPEMD160 + XTS
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3 -x
Scale: 2x - Denoise: 3 - TAA: Yes
pts/fahbench-1.0.2
pts/octanebench-1.3.0
Total Score
pts/luxcorerender-cl-1.2.0
LuxCore2.1Benchmark/LuxCoreScene/render.cfg
Scene: LuxCore Benchmark
pts/luxcorerender-cl-1.2.0
DLSC/LuxCoreScene/render.cfg
Scene: DLSC
pts/luxcorerender-cl-1.2.0
RainbowColorsAndPrism/LuxCoreScene/render.cfg
Scene: Rainbow Colors and Prism
pts/luxcorerender-cl-1.2.0
Food/LuxCoreScene/render.cfg
Scene: Food
pts/rodinia-1.3.1
OCL_PARTICLEFILTER
Test: OpenCL Particle Filter
pts/arrayfire-1.1.0
cg_opencl
Test: Conjugate Gradient OpenCL
pts/clpeak-1.0.1
--global-bandwidth
OpenCL Test: Global Memory Bandwidth
pts/clpeak-1.0.1
--compute-sp
OpenCL Test: Single-Precision Float
pts/clpeak-1.0.1
--compute-dp
OpenCL Test: Double-Precision Double
pts/clpeak-1.0.1
--compute-integer
OpenCL Test: Integer Compute INT
pts/financebench-1.0.0
Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe
Benchmark: Black-Scholes 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 mobilenet OPENCL
FP16: No - 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/plaidml-1.0.4
--no-fp16 --no-train imdb_lstm OPENCL
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
pts/lczero-1.5.1
-b opencl
Backend: OpenCL
pts/cl-mem-1.0.1
READ
Benchmark: Read
pts/cl-mem-1.0.1
WRITE
Benchmark: Write
pts/cl-mem-1.0.1
COPY
Benchmark: Copy
pts/mandelgpu-1.3.1
0 1
OpenCL Device: GPU
pts/viennacl-1.0.0
OpenCL LU Factorization
pts/redshift-1.0.1
pts/blender-1.8.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: BMW27 - Compute: NVIDIA OptiX
pts/blender-1.8.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: Classroom - Compute: NVIDIA OptiX
pts/blender-1.8.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: Fishy Cat - Compute: NVIDIA OptiX
pts/blender-1.8.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX
pts/blender-1.8.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: Barbershop - Compute: NVIDIA OptiX
pts/vkfft-1.0.0
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: squeezenet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: mobilenet
pts/ncnn-1.0.3
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.0.3
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: shufflenet-v2
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: mnasnet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: efficientnet-b0
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: blazeface
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: googlenet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: vgg16
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: resnet18
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: alexnet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: resnet50
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: yolov4-tiny
pts/realsr-ncnn-1.0.0
-s 4 -x
Scale: 4x - TAA: Yes
pts/realsr-ncnn-1.0.0
-s 4
Scale: 4x - TAA: No
pts/indigobench-1.1.0
--gpuonly --scenes supercar
Acceleration: OpenCL GPU - Scene: Supercar
pts/indigobench-1.1.0
--gpuonly --scenes bedroom
Acceleration: OpenCL GPU - Scene: Bedroom
pts/geekbench-1.2.1
--compute OpenCL
Test: GPU OpenCL
pts/geekbench-1.2.1
--compute CUDA
Test: GPU NVIDIA CUDA
pts/geekbench-1.2.1
--compute Vulkan
Test: GPU Vulkan