GM-1000, Karbon 700, CompuLab Airtop PCs Suite
1.0.0
System
Test suite extracted from GM-1000, Karbon 700, CompuLab Airtop PCs.
pts/kripke-1.0.0
pts/build-llvm-1.2.1
Time To Compile
pts/realsr-ncnn-1.0.0
-s 4 -x
Scale: 4x - TAA: Yes
pts/incompact3d-1.0.0
examples/Cylinder/input.i3d
Input: Cylinder
pts/java-gradle-perf-1.1.0
TEST_REACTOR
Gradle Build: Reactor
pts/astcenc-1.0.0
-exhaustive
Preset: Exhaustive
pts/ai-benchmark-1.0.0
Device AI Score
pts/ai-benchmark-1.0.0
Device Training Score
pts/ai-benchmark-1.0.0
Device Inference Score
pts/mlpack-1.0.2
SCIKIT_QDA
Benchmark: scikit_qda
pts/lczero-1.5.1
-b eigen
Backend: Eigen
pts/lczero-1.5.1
-b blas
Backend: BLAS
pts/gromacs-1.4.0
Water Benchmark
pts/yafaray-1.0.0
Total Time For Sample Scene
pts/mocassin-1.0.0
Input: Dust 2D tau100.0
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 200
Model: GoogleNet - Acceleration: CPU - Iterations: 200
pts/mlpack-1.0.2
SCIKIT_LINEARRIDGEREGRESSION
Benchmark: scikit_linearridgeregression
pts/brl-cad-1.1.0
VGR Performance Metric
pts/hint-1.0.3
FLOAT
Test: FLOAT
pts/numpy-1.2.0
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset medium
Video Input: Bosphorus 4K - Video Preset: Medium
pts/svt-av1-2.2.1
-enc-mode 0 -n 20 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Enc Mode 0 - Input: 1080p
pts/numenta-nab-1.1.0
-d earthgeckoSkyline
Detector: Earthgecko Skyline
system/wireguard-1.0.1
pts/openvkl-1.0.0
vklBenchmark
Benchmark: vklBenchmark
pts/cassandra-1.0.3
WRITE
Test: Writes
pts/hpcg-1.2.1
pts/dav1d-1.6.0
-i chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/build-linux-kernel-1.10.2
Time To Compile
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/avifenc-1.0.0
-s 0
Encoder Speed: 0
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/luxcorerender-1.2.3
DLSC/LuxCoreScene/render.cfg
Scene: DLSC
pts/mnn-1.0.1
Model: inception-v3
pts/mnn-1.0.1
Model: resnet-v2-50
pts/mnn-1.0.1
Model: SqueezeNetV1.0
pts/john-the-ripper-1.7.2
--format=md5crypt
Test: MD5
pts/build-gdb-1.0.1
Time To Compile
pts/caffe-1.5.0
--model=../models/bvlc_googlenet/deploy.prototxt -iterations 100
Model: GoogleNet - Acceleration: CPU - Iterations: 100
pts/numenta-nab-1.1.0
-d relativeEntropy
Detector: Relative Entropy
pts/rocksdb-1.0.2
--benchmarks="fillrandom"
Test: Random Fill
pts/compress-zstd-1.2.1
-b19
Compression Level: 19
pts/rocksdb-1.0.2
--benchmarks="fillsync"
Test: Random Fill Sync
pts/byte-1.2.2
TEST_DHRY2
Computational Test: Dhrystone 2
pts/hmmer-1.2.0
Pfam Database Search
pts/numenta-nab-1.1.0
-d bayesChangePt
Detector: Bayesian Changepoint
pts/rocksdb-1.0.2
--benchmarks="readwhilewriting"
Test: Read While Writing
pts/luxcorerender-1.2.3
RainbowColorsAndPrism/LuxCoreScene/render.cfg
Scene: Rainbow Colors and Prism
pts/glmark2-1.2.0
-s 1920x1080
Resolution: 1920 x 1080
pts/vpxenc-3.0.0
--cpu-used=0
Speed: Speed 0
pts/espeak-1.6.0
Text-To-Speech Synthesis
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -iterations 200
Model: AlexNet - Acceleration: CPU - Iterations: 200
pts/build-php-1.5.1
Time To Compile
pts/avifenc-1.0.0
-s 2
Encoder Speed: 2
pts/ncnn-1.0.3
-1
Target: CPU - Model: yolov4-tiny
pts/ncnn-1.0.3
-1
Target: CPU - Model: resnet50
pts/ncnn-1.0.3
-1
Target: CPU - Model: alexnet
pts/ncnn-1.0.3
-1
Target: CPU - Model: resnet18
pts/ncnn-1.0.3
-1
Target: CPU - Model: vgg16
pts/ncnn-1.0.3
-1
Target: CPU - Model: googlenet
pts/ncnn-1.0.3
-1
Target: CPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.0.3
-1
Target: CPU - Model: mobilenet
pts/ncnn-1.0.3
-1
Target: CPU - Model: squeezenet
system/rawtherapee-1.0.1
Total Benchmark Time
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset veryfast
Video Input: Bosphorus 4K - Video Preset: Very Fast
pts/realsr-ncnn-1.0.0
-s 4
Scale: 4x - TAA: No
pts/pyperformance-1.0.2
raytrace
Benchmark: raytrace
pts/openssl-1.11.0
RSA 4096-bit Performance
pts/pgbench-1.10.1
-s 1 -c 1
Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency
pts/pgbench-1.10.1
-s 1 -c 1
Scaling Factor: 1 - Clients: 1 - Mode: Read Write
pts/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/john-the-ripper-1.7.2
--format=bcrypt
Test: Blowfish
pts/pyperformance-1.0.2
python_startup
Benchmark: python_startup
pts/keydb-1.2.0
pts/caffe-1.5.0
--model=../models/bvlc_alexnet/deploy.prototxt -iterations 100
Model: AlexNet - Acceleration: CPU - Iterations: 100
pts/tensorflow-lite-1.0.0
--graph=nasnet_mobile.tflite
Model: NASNet Mobile
pts/numenta-nab-1.1.0
-d windowedGaussian
Detector: Windowed Gaussian
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/rocksdb-1.0.2
--benchmarks="readrandom"
Test: Random Read
system/hugin-1.0.0
Panorama Photo Assistant + Stitching Time
pts/astcenc-1.0.0
-thorough
Preset: Thorough
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast
Video Input: Bosphorus 1080p - Video Preset: Very Fast
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/pyperformance-1.0.2
2to3
Benchmark: 2to3
pts/mlpack-1.0.2
SCIKIT_ICA
Benchmark: scikit_ica
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu
Harness: IP Batch All - Data Type: f32 - Engine: CPU
pts/oidn-1.2.0
-hdr memorial.pfm
Scene: Memorial
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: yolov4-tiny
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: resnet50
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: alexnet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: resnet18
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: vgg16
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: googlenet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: blazeface
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: efficientnet-b0
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: mnasnet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: shufflenet-v2
pts/ncnn-1.0.3
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.0.3
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: mobilenet
pts/ncnn-1.0.3
Target: Vulkan GPU - Model: squeezenet
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
pts/git-1.1.0
Time To Complete Common Git Commands
pts/rays1bench-1.0.0
Large Scene
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset ultrafast
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium
Video Input: Bosphorus 1080p - Video Preset: Medium
pts/pgbench-1.10.1
-s 1 -c 50
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
pts/pgbench-1.10.1
-s 1 -c 50
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
pts/pgbench-1.10.1
-s 1 -c 1 -S
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
pts/pgbench-1.10.1
-s 1 -c 1 -S
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
pts/pgbench-1.10.1
-s 1 -c 50 -S
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
pts/pgbench-1.10.1
-s 1 -c 50 -S
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
pts/pyperformance-1.0.2
go
Benchmark: go
system/ocrmypdf-1.0.0
Processing 60 Page PDF Document
pts/dacapobench-1.0.1
h2
Java Test: H2
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
pts/svt-av1-2.2.1
-enc-mode 4 -n 80 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Enc Mode 4 - Input: 1080p
pts/compress-7zip-1.7.1
Compress Speed Test
pts/webp-1.0.0
-q 100 -lossless -m 6
Encode Settings: Quality 100, Lossless, Highest Compression
pts/libraw-1.0.0
Post-Processing Benchmark
pts/dav1d-1.6.0
-i summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/dacapobench-1.0.1
tradesoap
Java Test: Tradesoap
pts/vpxenc-3.0.0
--cpu-used=5
Speed: Speed 5
pts/x265-1.3.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
pts/build-apache-1.6.1
Time To Compile
pts/leveldb-1.0.0
--benchmarks=seekrandom --num=1000000
Benchmark: Seek Random
pts/postmark-1.1.2
Disk Transaction Performance
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
pts/rocksdb-1.0.2
--benchmarks="fillseq"
Test: Sequential Fill
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/pyperformance-1.0.2
regex_compile
Benchmark: regex_compile
pts/dacapobench-1.0.1
tradebeans
Java Test: Tradebeans
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3 -x
Scale: 2x - Denoise: 3 - TAA: Yes
pts/astcenc-1.0.0
-medium
Preset: Medium
pts/dav1d-1.6.0
-i chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/pyperformance-1.0.2
pathlib
Benchmark: pathlib
pts/compress-zstd-1.2.1
-b3
Compression Level: 3
pts/mlpack-1.0.2
SCIKIT_SVM
Benchmark: scikit_svm
pts/pyperformance-1.0.2
django_template
Benchmark: django_template
pts/leveldb-1.0.0
--benchmarks=readrandom --num=1000000
Benchmark: Random Read
pts/blosc-1.0.0
blosclz
Compressor: blosclz
pts/rnnoise-1.0.2
pts/pyperformance-1.0.2
pickle_pure_python
Benchmark: pickle_pure_python
pts/pyperformance-1.0.2
float
Benchmark: float
system/tesseract-ocr-1.0.1
Time To OCR 7 Images
pts/pyperformance-1.0.2
chaos
Benchmark: chaos
pts/pyperformance-1.0.2
json_loads
Benchmark: json_loads
pts/pyperformance-1.0.2
crypto_pyaes
Benchmark: crypto_pyaes
pts/pyperformance-1.0.2
nbody
Benchmark: nbody
pts/tnn-1.0.0
-dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto
Target: CPU - Model: MobileNet v2
system/rsvg-1.0.0
Operation: SVG Files To PNG
pts/tnn-1.0.0
-dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto
Target: CPU - Model: SqueezeNet v1.1
pts/mafft-1.6.1
Multiple Sequence Alignment - LSU RNA
pts/webp-1.0.0
-q 100 -lossless
Encode Settings: Quality 100, Lossless
pts/leveldb-1.0.0
--benchmarks=fillseq --num=500000
Benchmark: Sequential Fill
pts/lammps-1.2.1
in.rhodo
Model: Rhodopsin Protein
pts/dolfyn-1.0.3
Computational Fluid Dynamics
pts/svt-vp9-1.2.2
-tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
pts/leveldb-1.0.0
--benchmarks=deleterandom --num=500000
Benchmark: Random Delete
pts/leveldb-1.0.0
--benchmarks=overwrite --num=100000
Benchmark: Overwrite
pts/leveldb-1.0.0
--benchmarks=fillrandom --num=100000
Benchmark: Random Fill
pts/svt-vp9-1.2.2
-tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
pts/leveldb-1.0.0
--benchmarks=readhot --num=1000000
Benchmark: Hot Read
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/webp-1.0.0
-q 100 -m 6
Encode Settings: Quality 100, Highest Compression
pts/avifenc-1.0.0
-s 10
Encoder Speed: 10
pts/astcenc-1.0.0
-fast
Preset: Fast
system/octave-benchmark-1.0.1
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/dacapobench-1.0.1
jython
Java Test: Jython
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/avifenc-1.0.0
-s 8
Encoder Speed: 8
pts/waifu2x-ncnn-1.0.0
-s 2 -n 3
Scale: 2x - Denoise: 3 - TAA: No
pts/leveldb-1.0.0
--benchmarks=fillsync --num=1000000
Benchmark: Fill Sync
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
pts/dav1d-1.6.0
-i summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
pts/ffte-1.2.1
N=256, 3D Complex FFT Routine
pts/webp-1.0.0
-q 100
Encode Settings: Quality 100
pts/webp-1.0.0
Encode Settings: Default
pts/ior-1.0.0
Read Test
pts/ior-1.0.0
Write Test