Core i3 7100 Xmas Eve Suite
1.0.0
System
Test suite extracted from Core i3 7100 Xmas Eve.
pts/sqlite-2.1.0
1
Threads / Copies: 1
pts/vkfft-1.1.0
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/vkmark-1.2.0
--size 1280x1024
Resolution: 1280 x 1024
pts/vkmark-1.2.0
--size 1920x1080
Resolution: 1920 x 1080
pts/hpcc-1.2.8
HPL
Test / Class: G-HPL
pts/hpcc-1.2.8
MPIFFT
Test / Class: G-Ffte
pts/hpcc-1.2.8
STARDGEMMFLOPS
Test / Class: EP-DGEMM
pts/hpcc-1.2.8
PTRANS
Test / Class: G-Ptrans
pts/hpcc-1.2.8
STARSTREAMTRIAD
Test / Class: EP-STREAM Triad
pts/hpcc-1.2.8
MPIRANDOMACCESS
Test / Class: G-Random Access
pts/hpcc-1.2.8
RRINGLATENCY
Test / Class: Random Ring Latency
pts/hpcc-1.2.8
RRINGBANDWIDTH
Test / Class: Random Ring Bandwidth
pts/hpcc-1.2.8
MAXPPBANDWIDTH
Test / Class: Max Ping Pong Bandwidth
pts/clomp-1.1.1
Static OMP Speedup
pts/hmmer-1.2.2
Pfam Database Search
pts/mafft-1.6.2
Multiple Sequence Alignment - LSU RNA
pts/simdjson-1.1.1
Kostya
Throughput Test: Kostya
pts/simdjson-1.1.1
LargeRandom
Throughput Test: LargeRandom
pts/simdjson-1.1.1
PartialTweets
Throughput Test: PartialTweets
pts/simdjson-1.1.1
DistinctUserID
Throughput Test: DistinctUserID
pts/crafty-1.4.5
Elapsed Time
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.1
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.1
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.1
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/rav1e-1.4.0
-s 1 -l 20
Speed: 1
pts/rav1e-1.4.0
-s 5 -l 60
Speed: 5
pts/rav1e-1.4.0
-s 6 -l 60
Speed: 6
pts/rav1e-1.4.0
-s 10 -l 90
Speed: 10
pts/coremark-1.0.1
CoreMark Size 666 - Iterations Per Second
pts/stockfish-1.2.0
Total Time
pts/asmfish-1.1.2
1024 Hash Memory, 26 Depth
pts/build-ffmpeg-1.0.2
Time To Compile
pts/build2-1.1.0
Time To Compile
pts/build-eigen-1.1.0
Time To Compile
pts/encode-ape-1.4.0
WAV To APE
pts/encode-opus-1.1.1
WAV To Opus Encode
pts/node-web-tooling-1.0.0
pts/astcenc-1.0.2
-fast
Preset: Fast
pts/astcenc-1.0.2
-medium
Preset: Medium
pts/astcenc-1.0.2
-thorough
Preset: Thorough
pts/astcenc-1.0.2
-exhaustive
Preset: Exhaustive
pts/ncnn-1.1.0
-1
Target: CPU - Model: mobilenet
pts/ncnn-1.1.0
-1
Target: CPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.1.0
-1
Target: CPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.1.0
-1
Target: CPU - Model: shufflenet-v2
pts/ncnn-1.1.0
-1
Target: CPU - Model: mnasnet
pts/ncnn-1.1.0
-1
Target: CPU - Model: efficientnet-b0
pts/ncnn-1.1.0
-1
Target: CPU - Model: blazeface
pts/ncnn-1.1.0
-1
Target: CPU - Model: googlenet
pts/ncnn-1.1.0
-1
Target: CPU - Model: vgg16
pts/ncnn-1.1.0
-1
Target: CPU - Model: resnet18
pts/ncnn-1.1.0
-1
Target: CPU - Model: alexnet
pts/ncnn-1.1.0
-1
Target: CPU - Model: resnet50
pts/ncnn-1.1.0
-1
Target: CPU - Model: yolov4-tiny
pts/ncnn-1.1.0
-1
Target: CPU - Model: squeezenet_ssd
pts/ncnn-1.1.0
-1
Target: CPU - Model: regnety_400m
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: mobilenet
pts/ncnn-1.1.0
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.1.0
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: shufflenet-v2
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: mnasnet
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: efficientnet-b0
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: blazeface
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: googlenet
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: vgg16
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: resnet18
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: alexnet
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: resnet50
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: yolov4-tiny
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: squeezenet_ssd
pts/ncnn-1.1.0
Target: Vulkan GPU - Model: regnety_400m
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/encode-wavpack-1.4.1
WAV To WavPack