ddggg

Tests for a future article. Intel Core i7-1165G7 testing with a Dell XPS 13 9310 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 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 2404216-PTS-DDGGG07373
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
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 7 Tests
CPU Massive 10 Tests
Creator Workloads 14 Tests
Encoding 5 Tests
Game Development 2 Tests
HPC - High Performance Computing 3 Tests
Imaging 4 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 3 Tests
Multi-Core 14 Tests
Intel oneAPI 2 Tests
Programmer / Developer System Benchmarks 4 Tests
Python Tests 3 Tests
Server 2 Tests
Server CPU Tests 7 Tests
Texture Compression 2 Tests
Video Encoding 4 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
April 21
  3 Hours, 43 Minutes
b
April 21
  3 Hours, 44 Minutes
Invert Hiding All Results Option
  3 Hours, 43 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):

ddggg Suite 1.0.0 System Test suite extracted from ddggg. pts/astcenc-1.5.1 -verythorough -repeats 10 Preset: Very Thorough pts/astcenc-1.5.1 -exhaustive -repeats 6 Preset: Exhaustive pts/specfem3d-1.1.0 layered_halfspace Model: Layered Halfspace pts/avifenc-1.4.1 -s 0 Encoder Speed: 0 pts/specfem3d-1.1.0 waterlayered_halfspace Model: Water-layered Halfspace pts/build-linux-kernel-1.16.0 defconfig Build: defconfig pts/ffmpeg-7.0.1 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/openssl-3.3.0 rsa4096 Algorithm: RSA4096 pts/ffmpeg-7.0.1 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/astcenc-1.5.1 -thorough -repeats 20 Preset: Thorough pts/ffmpeg-7.0.1 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/ffmpeg-7.0.1 --encoder=libx264 upload Encoder: libx264 - Scenario: Upload pts/stockfish-1.5.0 Chess Benchmark pts/specfem3d-1.1.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/openssl-3.3.0 sha256 Algorithm: SHA256 pts/openssl-3.3.0 sha512 Algorithm: SHA512 pts/openssl-3.3.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/openssl-3.3.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/openssl-3.3.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/openssl-3.3.0 -evp chacha20 Algorithm: ChaCha20 pts/specfem3d-1.1.0 tomographic_model Model: Tomographic Model pts/build-ffmpeg-7.0.0 Time To Compile pts/avifenc-1.4.1 -s 2 Encoder Speed: 2 pts/ffmpeg-7.0.1 --encoder=libx264 vod Encoder: libx264 - Scenario: Video On Demand pts/ffmpeg-7.0.1 --encoder=libx264 platform Encoder: libx264 - Scenario: Platform pts/specfem3d-1.1.0 Mount_StHelens Model: Mount St. Helens pts/jpegxl-1.6.0 sample-4.png out.jxl -q 80 --num_reps 80 Input: PNG - Quality: 80 pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 80 --num_reps 80 Input: JPEG - Quality: 80 pts/build-php-1.7.0 Time To Compile pts/astcenc-1.5.1 -fast -repeats 150 Preset: Fast pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_training --engine=cpu Harness: Recurrent Neural Network Training - Engine: CPU pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 20 Input: JPEG - Quality: 100 pts/jpegxl-1.6.0 sample-4.png out.jxl -q 100 --num_reps 20 Input: PNG - Quality: 100 pts/jpegxl-1.6.0 sample-4.png out.jxl -q 90 --num_reps 50 Input: PNG - Quality: 90 pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 50 Input: JPEG - Quality: 90 pts/svt-av1-2.12.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/x265-1.4.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/build-mesa-1.1.0 Time To Compile pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --engine=cpu Harness: Recurrent Neural Network Inference - Engine: CPU pts/ffmpeg-7.0.1 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/v-ray-1.5.0 -m vray Mode: CPU pts/openvino-1.5.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/astcenc-1.5.1 -medium -repeats 40 Preset: Medium pts/openvino-1.5.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/graphics-magick-2.2.0 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.2.0 -enhance Operation: Enhanced pts/graphics-magick-2.2.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/openvino-1.5.0 -m models/intel/person-detection-0303/FP32/person-detection-0303.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/rocksdb-1.6.0 --benchmarks="fillsync" Test: Random Fill Sync pts/openvino-1.5.0 -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-1.5.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/graphics-magick-2.2.0 -swirl 90 Operation: Swirl pts/rocksdb-1.6.0 --benchmarks="fillrandom" Test: Random Fill pts/openvino-1.5.0 -m models/intel/road-segmentation-adas-0001/FP16-INT8/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16-INT8 - Device: CPU pts/rocksdb-1.6.0 --benchmarks="overwrite" Test: Overwrite pts/openvino-1.5.0 -m models/intel/road-segmentation-adas-0001/FP16/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16 - Device: CPU pts/openvino-1.5.0 -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-1.5.0 -m models/intel/noise-suppression-poconetlike-0001/FP16/noise-suppression-poconetlike-0001.xml -d CPU Model: Noise Suppression Poconet-Like FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/person-reidentification-retail-0277/FP16/person-reidentification-retail-0277.xml -d CPU Model: Person Re-Identification Retail FP16 - Device: CPU pts/rocksdb-1.6.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/openvino-1.5.0 -m models/intel/handwritten-english-recognition-0001/FP16/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU pts/rocksdb-1.6.0 --benchmarks="updaterandom" Test: Update Random pts/openvino-1.5.0 -m models/intel/handwritten-english-recognition-0001/FP16-INT8/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/face-detection-retail-0005/FP16-INT8/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/face-detection-retail-0005/FP16/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16 - Device: CPU pts/openvino-1.5.0 -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/openvino-1.5.0 -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/graphics-magick-2.2.0 -resize 50% Operation: Resizing pts/rocksdb-1.6.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/openvino-1.5.0 -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/rocksdb-1.6.0 --benchmarks="readrandom" Test: Random Read pts/graphics-magick-2.2.0 -rotate 90 Operation: Rotate pts/graphics-magick-2.2.0 -colorspace HWB Operation: HWB Color Space pts/svt-av1-2.12.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/ffmpeg-7.0.1 --encoder=libx264 live Encoder: libx264 - Scenario: Live pts/jpegxl-decode-1.6.0 --num_threads=1 --num_reps=90 CPU Threads: 1 pts/jpegxl-decode-1.6.0 --num_reps=250 CPU Threads: All pts/svt-av1-2.12.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/avifenc-1.4.1 -s 6 -l Encoder Speed: 6, Lossless pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_1d --engine=cpu Harness: Deconvolution Batch shapes_1d - Engine: CPU pts/x265-1.4.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pusch/pusch_processor_benchmark -m throughput_thread -R 350 -B 10 -T 1 -t 0 -P pusch_scs30_100MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Thread pts/svt-av1-2.12.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/compress-pbzip2-1.6.1 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression pts/avifenc-1.4.1 -s 6 Encoder Speed: 6 pts/svt-av1-2.12.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_1d --engine=cpu Harness: IP Shapes 1D - Engine: CPU pts/encode-wavpack-1.5.0 WAV To WavPack pts/rnnoise-1.1.0 sample-audio-long.raw Input: 26 Minute Long Talking Sample pts/svt-av1-2.12.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/rocksdb-1.6.0 --benchmarks="fillseq" Test: Sequential Fill pts/draco-1.6.1 -i church.ply Model: Church Facade pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_3d --engine=cpu Harness: IP Shapes 3D - Engine: CPU pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pdsch_processor_benchmark -m throughput_total -R 350 -B 10 -P 4port_4layer_scs30_100MHz_256qam Test: PDSCH Processor Benchmark, Throughput Total pts/avifenc-1.4.1 -s 10 -l Encoder Speed: 10, Lossless pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pusch/pusch_processor_benchmark -m throughput_total -R 100 -B 10 -P pusch_scs30_100MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/draco-1.6.1 -i lion.ply Model: Lion pts/onednn-3.4.0 --conv --batch=inputs/conv/shapes_auto --engine=cpu Harness: Convolution Batch Shapes Auto - Engine: CPU pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pdsch_processor_benchmark -m throughput_thread -R 350 -B 10 -T 1 -P 4port_4layer_scs30_100MHz_256qam Test: PDSCH Processor Benchmark, Throughput Thread pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_3d --engine=cpu Harness: Deconvolution Batch shapes_3d - Engine: CPU pts/svt-av1-2.12.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.12.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p