i7 6800K Debian Suite
1.0.0
System
Test suite extracted from i7 6800K Debian.
pts/compress-zstd-1.2.1
-b19
Compression Level: 19
pts/ncnn-1.0.1
-1
Target: CPU - Model: blazeface
pts/osbench-1.0.2
mem_alloc.exe
Test: Memory Allocations
pts/webp-1.0.0
-q 100 -lossless
Encode Settings: Quality 100, Lossless
pts/incompact3d-1.0.0
examples/Cylinder/input.i3d
Input: Cylinder
pts/ncnn-1.0.1
-1
Target: CPU - Model: squeezenet_int8
pts/dcraw-1.1.1
RAW To PPM Image Conversion
pts/osbench-1.0.2
launch_programs.exe
Test: Launch Programs
pts/espeak-1.6.0
Text-To-Speech Synthesis
pts/webp-1.0.0
Encode Settings: Default
pts/ncnn-1.0.1
-1
Target: CPU - Model: resnet50_int8
pts/osbench-1.0.2
create_processes.exe
Test: Create Processes
pts/ncnn-1.0.1
-1
Target: CPU - Model: mnasnet
pts/webp-1.0.0
-q 100 -m 6
Encode Settings: Quality 100, Highest Compression
pts/osbench-1.0.2
create_files.exe target
Test: Create Files
pts/ncnn-1.0.1
-1
Target: CPU - Model: mobilenetv2_yolov3
pts/influxdb-1.0.0
-c 64 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/blender-1.8.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Classroom - Compute: CPU-Only
pts/compress-zstd-1.2.1
-b3
Compression Level: 3
pts/webp-1.0.0
-q 100
Encode Settings: Quality 100
pts/ncnn-1.0.1
-1
Target: CPU - Model: resnet18_int8
pts/influxdb-1.0.0
-c 1024 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/aom-av1-2.1.2
--cpu-used=6 --rt
Encoder Mode: Speed 6 Realtime
pts/webp-1.0.0
-q 100 -lossless -m 6
Encode Settings: Quality 100, Lossless, Highest Compression
pts/ncnn-1.0.1
-1
Target: CPU - Model: mobilenet_v3
pts/blender-1.8.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - Compute: CPU-Only
pts/aom-av1-2.1.2
--cpu-used=6 --limit=80
Encoder Mode: Speed 6 Two-Pass
pts/ncnn-1.0.1
-1
Target: CPU - Model: squeezenet
pts/build-llvm-1.2.1
Time To Compile
pts/blender-1.8.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Fishy Cat - Compute: CPU-Only
pts/ncnn-1.0.1
-1
Target: CPU - Model: googlenet_int8
pts/mnn-1.0.1
Model: inception-v3
pts/mnn-1.0.1
Model: resnet-v2-50
pts/aom-av1-2.1.2
--cpu-used=8 --rt
Encoder Mode: Speed 8 Realtime
pts/blender-1.8.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/ncnn-1.0.1
-1
Target: CPU - Model: alexnet
pts/mnn-1.0.1
Model: MobileNetV2_224
pts/mocassin-1.0.0
Input: Dust 2D tau100.0
pts/ncnn-1.0.1
-1
Target: CPU - Model: vgg16_int8
pts/lammps-1.2.1
in.rhodo
Model: Rhodopsin Protein
pts/libraw-1.0.0
Post-Processing Benchmark
pts/blender-1.8.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: BMW27 - Compute: CPU-Only
pts/mnn-1.0.1
Model: SqueezeNetV1.0
pts/influxdb-1.0.0
-c 4 -b 10000 -t 2,5000,1 -p 10000
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
pts/mnn-1.0.1
Model: mobilenet-v1-1.0
pts/lammps-1.2.1
benchmark_20k_atoms.in
Model: 20k Atoms
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/tensorflow-lite-1.0.0
--graph=nasnet_mobile.tflite
Model: NASNet Mobile
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/gpaw-1.0.0
carbon-nanotube
Input: Carbon Nanotube
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/aom-av1-2.1.2
--cpu-used=4 --limit=40
Encoder Mode: Speed 4 Two-Pass
pts/aom-av1-2.1.2
--cpu-used=0 --limit=10
Encoder Mode: Speed 0 Two-Pass
pts/opencv-1.0.0
dnn
Test: DNN - Deep Neural Network
pts/kripke-1.0.0
pts/system-decompress-gzip-1.1.1
pts/osbench-1.0.2
create_threads.exe
Test: Create Threads