RTX 30 Compute September Suite
1.0.0
System
Test suite extracted from RTX 30 Compute September.
pts/vkpeak-1.0.2
fp32-scalar
pts/vkpeak-1.0.2
fp32-vec4
pts/vkpeak-1.0.2
fp16-scalar
pts/vkpeak-1.0.2
fp16-vec4
pts/vkpeak-1.0.2
fp64-scalar
pts/vkpeak-1.0.2
fp64-vec4
pts/vkpeak-1.0.2
int32-scalar
pts/vkpeak-1.0.2
int32-vec4
pts/vkpeak-1.0.2
int16-scalar
pts/vkpeak-1.0.2
int16-vec4
pts/realsr-ncnn-1.0.0
-s 4
Scale: 4x - TAA: No
pts/realsr-ncnn-1.0.0
-s 4 -x
Scale: 4x - TAA: Yes
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3
Scale: 2x - Denoise: 3 - TAA: No
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3 -x
Scale: 2x - Denoise: 3 - TAA: Yes
pts/vkfft-1.1.0
pts/hashcat-1.0.0
-m 0
Benchmark: MD5
pts/hashcat-1.0.0
-m 100
Benchmark: SHA1
pts/hashcat-1.0.0
-m 11600
Benchmark: 7-Zip
pts/hashcat-1.0.0
-m 1700
Benchmark: SHA-512
pts/hashcat-1.0.0
-m 6211
Benchmark: TrueCrypt RIPEMD160 + XTS
pts/mixbench-1.1.1
mixbench-ocl-ro GIOPS
Backend: OpenCL - Benchmark: Integer
pts/mixbench-1.1.1
mixbench-cuda-ro GIOPS
Backend: NVIDIA CUDA - Benchmark: Integer
pts/mixbench-1.1.1
mixbench-ocl-ro DPGFLOPS
Backend: OpenCL - Benchmark: Double Precision
pts/mixbench-1.1.1
mixbench-ocl-ro SPGFLOPS
Backend: OpenCL - Benchmark: Single Precision
pts/mixbench-1.1.1
mixbench-cuda-ro HPGFLOPS
Backend: NVIDIA CUDA - Benchmark: Half Precision
pts/mixbench-1.1.1
mixbench-cuda-ro DPGFLOPS
Backend: NVIDIA CUDA - Benchmark: Double Precision
pts/mixbench-1.1.1
mixbench-cuda-ro SPGFLOPS
Backend: NVIDIA CUDA - Benchmark: Single Precision
pts/shoc-1.2.0
-opencl -benchmark S3D
Target: OpenCL - Benchmark: S3D
pts/shoc-1.2.0
-opencl -benchmark Triad
Target: OpenCL - Benchmark: Triad
pts/shoc-1.2.0
-opencl -benchmark FFT
Target: OpenCL - Benchmark: FFT SP
pts/shoc-1.2.0
-opencl -benchmark MD5Hash
Target: OpenCL - Benchmark: MD5 Hash
pts/shoc-1.2.0
-opencl -benchmark Reduction
Target: OpenCL - Benchmark: Reduction
pts/shoc-1.2.0
-opencl -benchmark GEMM
Target: OpenCL - Benchmark: GEMM SGEMM_N
pts/shoc-1.2.0
-opencl -benchmark MaxFlops
Target: OpenCL - Benchmark: Max SP Flops
pts/shoc-1.2.0
-opencl -benchmark BusSpeedDownload
Target: OpenCL - Benchmark: Bus Speed Download
pts/shoc-1.2.0
-opencl -benchmark BusSpeedReadback
Target: OpenCL - Benchmark: Bus Speed Readback
pts/shoc-1.2.0
-opencl -benchmark DeviceMemory
Target: OpenCL - Benchmark: Texture Read Bandwidth
pts/libplacebo-1.0.0
pts/cl-mem-1.0.1
COPY
Benchmark: Copy
pts/cl-mem-1.0.1
READ
Benchmark: Read
pts/cl-mem-1.0.1
WRITE
Benchmark: Write
pts/namd-cuda-1.1.1
ATPase Simulation - 327,506 Atoms
pts/betsy-1.0.0
--codec=etc1 --quality=2
Codec: ETC1 - Quality: Highest
pts/betsy-1.0.0
--codec=etc2_rgb --quality=2
Codec: ETC2 RGB - Quality: Highest
pts/vkresample-1.0.0
-u 2 -p 1
Upscale: 2x - Precision: Double
pts/vkresample-1.0.0
-u 2 -p 0
Upscale: 2x - Precision: Single
pts/octanebench-1.3.0
Total Score
pts/redshift-1.0.1
pts/fahbench-1.0.2
pts/lczero-1.6.0
-b opencl
Backend: OpenCL
pts/rodinia-1.3.1
OCL_PARTICLEFILTER
Test: OpenCL Particle Filter
pts/arrayfire-1.1.0
cg_opencl
Test: Conjugate Gradient OpenCL
pts/luxcorerender-1.3.0
DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0
Scene: DLSC - Acceleration: GPU
pts/luxcorerender-1.3.0
DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0
Scene: Danish Mood - Acceleration: GPU
pts/luxcorerender-1.3.0
OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0
Scene: Orange Juice - Acceleration: GPU
pts/luxcorerender-1.3.0
LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0
Scene: LuxCore Benchmark - Acceleration: GPU
pts/luxcorerender-1.3.0
RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0
Scene: Rainbow Colors and Prism - Acceleration: GPU
pts/financebench-1.1.1
Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe
Benchmark: Black-Scholes OpenCL
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sCOPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sAXPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sDOT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dCOPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dAXPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dDOT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMV-N
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMV-T
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-NN
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-NT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-TN
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-TT
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - sCOPY
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - sAXPY
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - sDOT
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dCOPY
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dAXPY
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dDOT
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dGEMV-N
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dGEMV-T
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dGEMM-NN
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dGEMM-NT
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dGEMM-TN
pts/gromacs-1.6.0
cuda-build water-cut1.0_GMX50_bare/1536
Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 100
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 200
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 1000
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 100
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 200
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 1000
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: mobilenet
pts/ncnn-1.3.0
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.3.0
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: shufflenet-v2
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: mnasnet
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: efficientnet-b0
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: blazeface
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: vgg16
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: resnet18
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: alexnet
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: resnet50
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: yolov4-tiny
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: squeezenet_ssd
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: regnety_400m
pts/ncnn-1.3.0
Target: Vulkan GPU - Model: googlenet
pts/plaidml-1.0.4
--no-fp16 --train mobilenet OPENCL
FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL
pts/plaidml-1.0.4
--no-fp16 --no-train imdb_lstm OPENCL
FP16: No - Mode: Inference - Network: IMDB LSTM - 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
--fp16 --no-train mobilenet OPENCL
FP16: Yes - 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/indigobench-1.1.0
--gpuonly --scenes bedroom
Acceleration: OpenCL GPU - Scene: Bedroom
pts/indigobench-1.1.0
--gpuonly --scenes supercar
Acceleration: OpenCL GPU - Scene: Supercar
pts/blender-1.9.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA
Blend File: BMW27 - Compute: CUDA
pts/blender-1.9.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA
Blend File: Classroom - Compute: CUDA
pts/blender-1.9.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA
Blend File: Fishy Cat - Compute: CUDA
pts/blender-1.9.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA
Blend File: Barbershop - Compute: CUDA
pts/blender-1.9.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: BMW27 - Compute: NVIDIA OptiX
pts/blender-1.9.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: Classroom - Compute: NVIDIA OptiX
pts/blender-1.9.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX
Blend File: Fishy Cat - Compute: NVIDIA OptiX
pts/viennacl-1.1.0
dense_blas-bench-opencl
Test: OpenCL BLAS - dGEMM-TT