Core i9 13900K Linux Distros Suite
1.0.0
System
Test suite extracted from Core i9 13900K Linux Distros.
pts/tesseract-1.1.0
-w1920 -h1080
Resolution: 1920 x 1080
pts/tesseract-1.1.0
-w3840 -h2160
Resolution: 3840 x 2160
pts/unvanquished-1.7.0
+set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/high.cfg
Resolution: 1920 x 1080 - Effects Quality: High
pts/unvanquished-1.7.0
+set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/high.cfg
Resolution: 3840 x 2160 - Effects Quality: High
pts/unvanquished-1.7.0
+set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/ultra.cfg
Resolution: 1920 x 1080 - Effects Quality: Ultra
pts/unvanquished-1.7.0
+set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/ultra.cfg
Resolution: 3840 x 2160 - Effects Quality: Ultra
pts/xonotic-1.6.0
+vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg
Resolution: 1920 x 1080 - Effects Quality: Ultra
pts/xonotic-1.6.0
+vid_width 3840 +vid_height 2160 +exec effects-ultra.cfg
Resolution: 3840 x 2160 - Effects Quality: Ultra
pts/xonotic-1.6.0
+vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg
Resolution: 1920 x 1080 - Effects Quality: Ultimate
pts/xonotic-1.6.0
+vid_width 3840 +vid_height 2160 +exec effects-ultimate.cfg
Resolution: 3840 x 2160 - Effects Quality: Ultimate
pts/quantlib-1.0.0
pts/hpcg-1.2.1
pts/npb-1.4.5
cg.C
Test / Class: CG.C
pts/npb-1.4.5
ep.C
Test / Class: EP.C
pts/npb-1.4.5
ep.D
Test / Class: EP.D
pts/npb-1.4.5
ft.C
Test / Class: FT.C
pts/npb-1.4.5
is.D
Test / Class: IS.D
pts/npb-1.4.5
lu.C
Test / Class: LU.C
pts/npb-1.4.5
mg.C
Test / Class: MG.C
pts/npb-1.4.5
sp.B
Test / Class: SP.B
pts/npb-1.4.5
sp.C
Test / Class: SP.C
pts/rodinia-1.3.2
OMP_LAVAMD
Test: OpenMP LavaMD
pts/rodinia-1.3.2
OMP_HOTSPOT3D
Test: OpenMP HotSpot3D
pts/rodinia-1.3.2
OMP_LEUKOCYTE
Test: OpenMP Leukocyte
pts/rodinia-1.3.2
OMP_CFD
Test: OpenMP CFD Solver
pts/rodinia-1.3.2
OMP_STREAMCLUSTER
Test: OpenMP Streamcluster
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/nwchem-1.1.1
Input: C240 Buckyball
pts/openradioss-1.0.0
Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad
Model: Bumper Beam
pts/openradioss-1.0.0
Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad
Model: Cell Phone Drop Test
pts/openradioss-1.0.0
BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad
Model: Bird Strike on Windshield
pts/openradioss-1.0.0
RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad
Model: Rubber O-Ring Seal Installation
pts/dacapobench-1.0.1
h2
Java Test: H2
pts/dacapobench-1.0.1
jython
Java Test: Jython
pts/renaissance-1.3.0
dotty
Test: Scala Dotty
pts/renaissance-1.3.0
dec-tree
Test: Random Forest
pts/renaissance-1.3.0
movie-lens
Test: ALS Movie Lens
pts/renaissance-1.3.0
als
Test: Apache Spark ALS
pts/renaissance-1.3.0
naive-bayes
Test: Apache Spark Bayes
pts/renaissance-1.3.0
reactors
Test: Savina Reactors.IO
pts/renaissance-1.3.0
page-rank
Test: Apache Spark PageRank
pts/renaissance-1.3.0
finagle-http
Test: Finagle HTTP Requests
pts/renaissance-1.3.0
akka-uct
Test: Akka Unbalanced Cobwebbed Tree
pts/renaissance-1.3.0
future-genetic
Test: Genetic Algorithm Using Jenetics + Futures
system/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/jpegxl-1.5.0
sample-4.png out.jxl -q 80 --num_reps 50
Input: PNG - Quality: 80
pts/jpegxl-1.5.0
sample-4.png out.jxl -q 90 --num_reps 40
Input: PNG - Quality: 90
pts/jpegxl-1.5.0
--lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 80 --num_reps 50
Input: JPEG - Quality: 80
pts/jpegxl-1.5.0
--lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 40
Input: JPEG - Quality: 90
pts/jpegxl-1.5.0
sample-4.png out.jxl -q 100 --num_reps 10
Input: PNG - Quality: 100
pts/jpegxl-1.5.0
--lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 10
Input: JPEG - Quality: 100
pts/webp-1.2.0
Encode Settings: Default
pts/webp-1.2.0
-q 100
Encode Settings: Quality 100
pts/webp-1.2.0
-q 100 -lossless
Encode Settings: Quality 100, Lossless
pts/webp-1.2.0
-q 100 -m 6
Encode Settings: Quality 100, Highest Compression
pts/webp-1.2.0
-q 100 -lossless -m 6
Encode Settings: Quality 100, Lossless, Highest Compression
pts/srsran-1.2.0
lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000
Test: OFDM_Test
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 4
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 4 -q
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 1 -q
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_nr_test -P 52 -p 52 -m 28 -n 20000
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
pts/libraw-1.0.0
Post-Processing Benchmark
pts/node-express-loadtest-1.0.1
pts/svt-av1-2.6.0
--preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 4 - Input: Bosphorus 4K
pts/svt-av1-2.6.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
pts/svt-av1-2.6.0
--preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 10 - Input: Bosphorus 4K
pts/svt-av1-2.6.0
--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 12 - Input: Bosphorus 4K
pts/svt-hevc-1.2.1
-encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: 1 - Input: Bosphorus 4K
pts/svt-hevc-1.2.1
-encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: 7 - Input: Bosphorus 4K
pts/svt-hevc-1.2.1
-encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: 10 - Input: Bosphorus 4K
pts/svt-vp9-1.3.1
-tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: VMAF Optimized - Input: Bosphorus 4K
pts/svt-vp9-1.3.1
-tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
pts/svt-vp9-1.3.1
-tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
pts/oidn-1.4.0
-r RT.ldr_alb_nrm.3840x2160
Run: RT.ldr_alb_nrm.3840x2160
pts/openvkl-1.1.0
vklBenchmark --benchmark_filter=ispc
Benchmark: vklBenchmark ISPC
pts/compress-7zip-1.10.0
Test: Compression Rating
pts/compress-7zip-1.10.0
Test: Decompression Rating
pts/stargate-1.0.1
44100 512
Sample Rate: 44100 - Buffer Size: 512
pts/stargate-1.0.1
96000 512
Sample Rate: 96000 - Buffer Size: 512
pts/stargate-1.0.1
44100 1024
Sample Rate: 44100 - Buffer Size: 1024
pts/stargate-1.0.1
96000 1024
Sample Rate: 96000 - Buffer Size: 1024
pts/build-linux-kernel-1.14.0
defconfig
Build: defconfig
pts/build-python-1.0.0
Build Configuration: Default
pts/build-python-1.0.0
--enable-optimizations --with-lto
Build Configuration: Released Build, PGO + LTO Optimized
pts/onednn-2.7.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/build-wasmer-1.2.0
Time To Compile
pts/ffmpeg-3.0.0
--encoder=libx264 live
Encoder: libx264 - Scenario: Live
pts/ffmpeg-3.0.0
--encoder=libx265 live
Encoder: libx265 - Scenario: Live
pts/ffmpeg-3.0.0
--encoder=libx264 upload
Encoder: libx264 - Scenario: Upload
pts/ffmpeg-3.0.0
--encoder=libx265 upload
Encoder: libx265 - Scenario: Upload
pts/ffmpeg-3.0.0
--encoder=libx264 platform
Encoder: libx264 - Scenario: Platform
pts/ffmpeg-3.0.0
--encoder=libx265 platform
Encoder: libx265 - Scenario: Platform
pts/ffmpeg-3.0.0
--encoder=libx264 vod
Encoder: libx264 - Scenario: Video On Demand
pts/ffmpeg-3.0.0
--encoder=libx265 vod
Encoder: libx265 - Scenario: Video On Demand
pts/openssl-3.0.1
sha256
Algorithm: SHA256
pts/openssl-3.0.1
rsa4096
Algorithm: RSA4096
pts/node-web-tooling-1.0.1
pts/liquid-dsp-1.0.0
-n 8 -b 256 -f 57
Threads: 8 - Buffer Length: 256 - Filter Length: 57
pts/clickhouse-1.1.0
100M Rows Web Analytics Dataset, First Run / Cold Cache
pts/clickhouse-1.1.0
100M Rows Web Analytics Dataset, Second Run
pts/clickhouse-1.1.0
100M Rows Web Analytics Dataset, Third Run
pts/financebench-1.1.1
Repo/OpenMP/repoEngine.exe
Benchmark: Repo OpenMP
pts/financebench-1.1.1
Bonds/OpenMP/bondsEngine.exe
Benchmark: Bonds OpenMP
pts/gromacs-1.7.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/sqlite-speedtest-1.0.1
Timed Time - Size 1,000
system/rawtherapee-1.0.1
Total Benchmark Time
pts/memtier-benchmark-1.4.1
-P redis -c 50 --ratio=1:1
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1
pts/memtier-benchmark-1.4.1
-P redis -c 50 --ratio=10:1
Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1
pts/memtier-benchmark-1.4.1
-P redis -c 50 --ratio=1:10
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
pts/stress-ng-1.6.0
--mmap -1
Test: MMAP
pts/stress-ng-1.6.0
--numa -1
Test: NUMA
pts/stress-ng-1.6.0
--futex -1
Test: Futex
pts/stress-ng-1.6.0
--memfd -1
Test: MEMFD
pts/stress-ng-1.6.0
--mutex -1
Test: Mutex
pts/stress-ng-1.6.0
--crypt -1
Test: Crypto
pts/stress-ng-1.6.0
--malloc -1
Test: Malloc
pts/stress-ng-1.6.0
--fork -1
Test: Forking
pts/stress-ng-1.6.0
--sendfile -1
Test: SENDFILE
pts/stress-ng-1.6.0
--cache -1
Test: CPU Cache
pts/stress-ng-1.6.0
--cpu -1 --cpu-method all
Test: CPU Stress
pts/stress-ng-1.6.0
--sem -1
Test: Semaphores
pts/stress-ng-1.6.0
--matrix -1
Test: Matrix Math
pts/stress-ng-1.6.0
--vecmath -1
Test: Vector Math
pts/stress-ng-1.6.0
--rdrand -1
Test: x86_64 RdRand
pts/stress-ng-1.6.0
--memcpy -1
Test: Memory Copying
pts/stress-ng-1.6.0
--switch -1
Test: Context Switching
pts/stress-ng-1.6.0
--str -1
Test: Glibc C String Functions
pts/stress-ng-1.6.0
--qsort -1
Test: Glibc Qsort Data Sorting
pts/stress-ng-1.6.0
--msg -1
Test: System V Message Passing
pts/blender-3.3.1
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: BMW27 - Compute: CPU-Only
pts/blender-3.3.1
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Classroom - Compute: CPU-Only
pts/blender-3.3.1
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Fishy Cat - Compute: CPU-Only
pts/blender-3.3.1
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Barbershop - Compute: CPU-Only
pts/blender-3.3.1
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/ctx-clock-1.0.0
Context Switch Time
pts/openvino-1.1.0
-m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU
Model: Face Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU
Model: Person Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU
Model: Person Detection FP32 - Device: CPU
pts/openvino-1.1.0
-m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU
Model: Vehicle Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU
Model: Face Detection FP16-INT8 - Device: CPU
pts/openvino-1.1.0
-m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU
Model: Vehicle Detection FP16-INT8 - Device: CPU
pts/openvino-1.1.0
-m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU
Model: Weld Porosity Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU
Model: Machine Translation EN To DE FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
pts/openvino-1.1.0
-m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU
Model: Person Vehicle Bike Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
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/pybench-1.1.3
Total For Average Test Times
pts/pyperformance-1.0.2
go
Benchmark: go
pts/pyperformance-1.0.2
2to3
Benchmark: 2to3
pts/pyperformance-1.0.2
chaos
Benchmark: chaos
pts/pyperformance-1.0.2
float
Benchmark: float
pts/pyperformance-1.0.2
nbody
Benchmark: nbody
pts/pyperformance-1.0.2
pathlib
Benchmark: pathlib
pts/pyperformance-1.0.2
raytrace
Benchmark: raytrace
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
regex_compile
Benchmark: regex_compile
pts/pyperformance-1.0.2
python_startup
Benchmark: python_startup
pts/pyperformance-1.0.2
django_template
Benchmark: django_template
pts/pyperformance-1.0.2
pickle_pure_python
Benchmark: pickle_pure_python
pts/onnx-1.5.0
GPT2/model.onnx -e cpu
Model: GPT-2 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
yolov4/yolov4.onnx -e cpu
Model: yolov4 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
bertsquad-12/bertsquad-12.onnx -e cpu
Model: bertsquad-12 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
fcn-resnet101-11/model.onnx -e cpu
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
pts/onnx-1.5.0
super_resolution/super_resolution.onnx -e cpu
Model: super-resolution-10 - Device: CPU - Executor: Standard
pts/appleseed-1.0.1
emily.appleseed
Scene: Emily
pts/appleseed-1.0.1
disney_material_1.appleseed
Scene: Disney Material
pts/appleseed-1.0.1
material_tester_ambient_occlusion.appleseed
Scene: Material Tester
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/v-ray-1.4.0
-m vray
Mode: CPU
pts/minibude-1.0.0
--deck ../data/bm1 --iterations 500
Implementation: OpenMP - Input Deck: BM1
pts/minibude-1.0.0
--deck ../data/bm2 --iterations 10
Implementation: OpenMP - Input Deck: BM2