Core i7 4790K 202 Suite
1.0.0
System
Test suite extracted from Core i7 4790K 202.
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/libplacebo-1.0.0
Test: deband_heavy
pts/libplacebo-1.0.0
Test: polar_nocompute
pts/libplacebo-1.0.0
Test: hdr_peakdetect
pts/libplacebo-1.0.0
Test: av1_grain_lap
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/ddnet-1.0.1
"gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo"
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
pts/ddnet-1.0.1
"gfx_screen_width 3840" "gfx_screen_height 2160" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo"
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
pts/ddnet-1.0.1
"gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo"
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
pts/ddnet-1.0.1
"gfx_screen_width 3840" "gfx_screen_height 2160" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo"
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
pts/yquake2-1.0.1
+set vid_renderer gl1 +set r_mode 21
Renderer: OpenGL 1.x - Resolution: 1920 x 1080
pts/yquake2-1.0.1
+set vid_renderer gl1 +set r_mode 25
Renderer: OpenGL 1.x - Resolution: 2560 x 1440
pts/yquake2-1.0.1
+set vid_renderer gl1 +set r_mode 29
Renderer: OpenGL 1.x - Resolution: 3840 x 2160
pts/yquake2-1.0.1
+set vid_renderer gl3 +set r_mode 21
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
pts/yquake2-1.0.1
+set vid_renderer gl3 +set r_mode 25
Renderer: OpenGL 3.x - Resolution: 2560 x 1440
pts/yquake2-1.0.1
+set vid_renderer gl3 +set r_mode 29
Renderer: OpenGL 3.x - Resolution: 3840 x 2160
pts/yquake2-1.0.1
+set vid_renderer soft +set r_mode 21
Renderer: Software CPU - Resolution: 1920 x 1080
pts/yquake2-1.0.1
+set vid_renderer soft +set r_mode 25
Renderer: Software CPU - Resolution: 2560 x 1440
pts/yquake2-1.0.1
+set vid_renderer soft +set r_mode 29
Renderer: Software CPU - Resolution: 3840 x 2160
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/hmmer-1.2.2
Pfam Database Search
pts/mafft-1.6.2
Multiple Sequence Alignment - LSU RNA
pts/lammps-1.3.0
in.rhodo
Model: Rhodopsin Protein
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/compress-lz4-1.0.0
-b1 -e1
Compression Level: 1 - Compression Speed
pts/compress-lz4-1.0.0
-b1 -e1
Compression Level: 1 - Decompression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Compression Speed
pts/compress-lz4-1.0.0
-b3 -e3
Compression Level: 3 - Decompression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Compression Speed
pts/compress-lz4-1.0.0
-b9 -e9
Compression Level: 9 - Decompression Speed
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.6.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.6.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/embree-1.1.1
pathtracer -c crown/crown.ecs
Binary: Pathtracer - Model: Crown
pts/embree-1.1.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.1.1
pathtracer -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon
pts/embree-1.1.1
pathtracer -c asian_dragon_obj/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon Obj
pts/embree-1.1.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/embree-1.1.1
pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset slow
Video Input: Bosphorus 4K - Video Preset: Slow
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset medium
Video Input: Bosphorus 4K - Video Preset: Medium
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow
Video Input: Bosphorus 1080p - Video Preset: Slow
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium
Video Input: Bosphorus 1080p - Video Preset: Medium
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset veryfast
Video Input: Bosphorus 4K - Video Preset: Very Fast
pts/kvazaar-1.0.0
-i Bosphorus_3840x2160.y4m --preset ultrafast
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast
Video Input: Bosphorus 1080p - Video Preset: Very Fast
pts/kvazaar-1.0.0
-i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
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/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/x265-1.3.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
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/numpy-1.2.1
pts/espeak-1.6.1
Text-To-Speech Synthesis
pts/node-web-tooling-1.0.0
pts/gromacs-1.4.1
Water Benchmark
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/basis-1.0.2
Settings: ETC1S
pts/basis-1.0.2
-uastc -uastc_level 0
Settings: UASTC Level 0
pts/basis-1.0.2
-uastc -uastc_level 2
Settings: UASTC Level 2
pts/basis-1.0.2
-uastc -uastc_level 3
Settings: UASTC Level 3
pts/basis-1.0.2
-uastc -uastc_level 2 -uastc_rdo_q .75
Settings: UASTC Level 2 + RDO Post-Processing
pts/sqlite-speedtest-1.0.1
Timed Time - Size 1,000
pts/redis-1.3.0
-t lpop
Test: LPOP
pts/redis-1.3.0
-t sadd
Test: SADD
pts/redis-1.3.0
-t lpush
Test: LPUSH
pts/redis-1.3.0
-t get
Test: GET
pts/redis-1.3.0
-t set
Test: SET
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/indigobench-1.1.0
--cpuonly --scenes bedroom
Acceleration: CPU - Scene: Bedroom
pts/indigobench-1.1.0
--cpuonly --scenes supercar
Acceleration: CPU - Scene: Supercar
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/sunflow-1.1.3
Global Illumination + Image Synthesis
pts/brl-cad-1.1.2
VGR Performance Metric
pts/clomp-1.1.1
Static OMP Speedup
pts/build-eigen-1.1.0
Time To Compile
pts/encode-ape-1.4.0
WAV To APE
pts/encode-wavpack-1.4.0
WAV To WavPack