new jult

Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307021-PTS-NEWJULT613
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 6 Tests
Encoding 2 Tests
Game Development 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 2 Tests
MPI Benchmarks 2 Tests
Multi-Core 7 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 3 Tests
Python Tests 2 Tests
Renderers 2 Tests
Software Defined Radio 2 Tests
Server CPU Tests 4 Tests
Video Encoding 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
July 01 2023
  5 Hours, 54 Minutes
b
July 02 2023
  5 Hours, 50 Minutes
Invert Hiding All Results Option
  5 Hours, 52 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

new jult Suite 1.0.0 System Test suite extracted from new jult. pts/stress-ng-1.10.0 --hash -1 --no-rand-seed Test: Hash pts/stress-ng-1.10.0 --mmap -1 --no-rand-seed Test: MMAP pts/stress-ng-1.10.0 --numa -1 --no-rand-seed Test: NUMA pts/stress-ng-1.10.0 --pipe -1 --no-rand-seed Test: Pipe pts/stress-ng-1.10.0 --poll -1 --no-rand-seed Test: Poll pts/stress-ng-1.10.0 --zlib -1 --no-rand-seed Test: Zlib pts/stress-ng-1.10.0 --futex -1 --no-rand-seed Test: Futex pts/stress-ng-1.10.0 --memfd -1 --no-rand-seed Test: MEMFD pts/stress-ng-1.10.0 --mutex -1 --no-rand-seed Test: Mutex pts/stress-ng-1.10.0 --atomic -1 --no-rand-seed Test: Atomic pts/stress-ng-1.10.0 --crypt -1 --no-rand-seed Test: Crypto pts/stress-ng-1.10.0 --malloc -1 --no-rand-seed Test: Malloc pts/stress-ng-1.10.0 --clone -1 --no-rand-seed Test: Cloning pts/stress-ng-1.10.0 --fork -1 --no-rand-seed Test: Forking pts/stress-ng-1.10.0 --pthread -1 --no-rand-seed Test: Pthread pts/stress-ng-1.10.0 --tree -1 --tree-method avl --no-rand-seed Test: AVL Tree pts/stress-ng-1.10.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/stress-ng-1.10.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/stress-ng-1.10.0 --cache -1 --no-rand-seed Test: CPU Cache pts/stress-ng-1.10.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.10.0 --sem -1 --no-rand-seed Test: Semaphores pts/stress-ng-1.10.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/stress-ng-1.10.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/stress-ng-1.10.0 --funccall -1 --no-rand-seed Test: Function Call pts/stress-ng-1.10.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/stress-ng-1.10.0 --fp -1 --no-rand-seed Test: Floating Point pts/stress-ng-1.10.0 --matrix-3d -1 --no-rand-seed Test: Matrix 3D Math pts/stress-ng-1.10.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/stress-ng-1.10.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/stress-ng-1.10.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/stress-ng-1.10.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/stress-ng-1.10.0 --switch -1 --no-rand-seed Test: Context Switching pts/stress-ng-1.10.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/stress-ng-1.10.0 --vecfp -1 --no-rand-seed Test: Vector Floating Point pts/stress-ng-1.10.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/stress-ng-1.10.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/stress-ng-1.10.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/nekrs-1.1.0 kershaw kershaw.par Input: Kershaw pts/nekrs-1.1.0 turbPipePeriodic turbPipe.par Input: TurboPipe Periodic pts/dav1d-1.14.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/dav1d-1.14.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/dav1d-1.14.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/dav1d-1.14.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-low.cfg Resolution: 1920 x 1080 - Effects Quality: Low pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-low.cfg Resolution: 1920 x 1200 - Effects Quality: Low pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-high.cfg Resolution: 1920 x 1200 - Effects Quality: High pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-ultra.cfg Resolution: 1920 x 1200 - Effects Quality: Ultra pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-ultimate.cfg Resolution: 1920 x 1200 - Effects Quality: Ultimate pts/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/hpcg-1.3.0 --nx=144 --ny=144 --nz=144 --rt=60 X Y Z: 144 144 144 - RT: 60 pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d sycl Run: RT.hdr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d sycl Run: RT.ldr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d sycl Run: RTLightmap.hdr.4096x4096 - Device: Intel oneAPI SYCL pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/deepsparse-1.5.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario sync Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario sync Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream pts/srsran-2.1.0 tests/benchmarks/phy/upper/downlink_processor_benchmark -R 50000 -P pdsch_scs15_50MHz_256qam_max Test: Downlink Processor Benchmark pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_total -R 100 -P pusch_scs15_50MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_thread -R 100 -P pusch_scs15_50MHz_256qam_max -T 1 Test: PUSCH Processor Benchmark, Throughput Thread pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 512 Threads: 2 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 pts/gpaw-1.2.0 carbon-nanotube Input: Carbon Nanotube pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-3.6.0 -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-3.6.0 -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-3.6.0 -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/whisper-cpp-1.0.0 -m models/ggml-base.en.bin -f ../2016-state-of-the-union.wav Model: ggml-base.en - Input: 2016 State of the Union pts/whisper-cpp-1.0.0 -m models/ggml-small.en.bin -f ../2016-state-of-the-union.wav Model: ggml-small.en - Input: 2016 State of the Union pts/whisper-cpp-1.0.0 -m models/ggml-medium.en.bin -f ../2016-state-of-the-union.wav Model: ggml-medium.en - Input: 2016 State of the Union