ddggg

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 2404214-PTS-DDGGG24373
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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

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April 21
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April 21
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ddggg Suite 1.0.0 System Test suite extracted from ddggg. pts/rocksdb-1.6.0 --benchmarks="fillsync" Test: Random Fill Sync pts/openssl-3.3.0 rsa4096 Algorithm: RSA4096 pts/rocksdb-1.6.0 --benchmarks="fillrandom" Test: Random Fill 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/rocksdb-1.6.0 --benchmarks="overwrite" Test: Overwrite pts/openssl-3.3.0 sha512 Algorithm: SHA512 pts/svt-av1-2.12.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/graphics-magick-2.2.0 -resize 50% Operation: Resizing pts/x265-1.4.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/graphics-magick-2.2.0 -enhance Operation: Enhanced pts/rocksdb-1.6.0 --benchmarks="updaterandom" Test: Update Random pts/avifenc-1.4.1 -s 6 -l Encoder Speed: 6, Lossless pts/specfem3d-1.1.0 Mount_StHelens Model: Mount St. Helens 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/svt-av1-2.12.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/graphics-magick-2.2.0 -sharpen 0x2.0 Operation: Sharpen pts/encode-wavpack-1.5.0 WAV To WavPack pts/openssl-3.3.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/ffmpeg-7.0.1 --encoder=libx264 live Encoder: libx264 - Scenario: Live pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_1d --engine=cpu Harness: Deconvolution Batch shapes_1d - Engine: CPU pts/ffmpeg-7.0.1 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/graphics-magick-2.2.0 -colorspace HWB Operation: HWB Color Space pts/stockfish-1.5.0 Chess Benchmark pts/rocksdb-1.6.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/rnnoise-1.1.0 sample-audio-long.raw Input: 26 Minute Long Talking Sample pts/compress-pbzip2-1.6.1 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression 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/rocksdb-1.6.0 --benchmarks="readrandom" Test: Random Read pts/specfem3d-1.1.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/jpegxl-decode-1.6.0 --num_threads=1 --num_reps=90 CPU Threads: 1 pts/openssl-3.3.0 sha256 Algorithm: SHA256 pts/jpegxl-decode-1.6.0 --num_reps=250 CPU Threads: All 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/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/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/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --engine=cpu Harness: Recurrent Neural Network Inference - Engine: CPU pts/openssl-3.3.0 -evp chacha20 Algorithm: ChaCha20 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/astcenc-1.5.1 -exhaustive -repeats 6 Preset: Exhaustive pts/graphics-magick-2.2.0 -rotate 90 Operation: Rotate pts/x265-1.4.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/draco-1.6.1 -i lion.ply Model: Lion 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/openvino-1.5.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 80 --num_reps 80 Input: JPEG - Quality: 80 pts/v-ray-1.5.0 -m vray Mode: CPU pts/rocksdb-1.6.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/build-linux-kernel-1.16.0 defconfig Build: defconfig 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/build-php-1.7.0 Time To Compile pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 20 Input: JPEG - Quality: 100 pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_training --engine=cpu Harness: Recurrent Neural Network Training - Engine: CPU pts/avifenc-1.4.1 -s 6 Encoder Speed: 6 pts/openssl-3.3.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/ffmpeg-7.0.1 --encoder=libx264 upload Encoder: libx264 - Scenario: Upload pts/avifenc-1.4.1 -s 0 Encoder Speed: 0 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/openvino-1.5.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/astcenc-1.5.1 -verythorough -repeats 10 Preset: Very Thorough pts/specfem3d-1.1.0 tomographic_model Model: Tomographic Model 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/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/openvino-1.5.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - 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/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/specfem3d-1.1.0 layered_halfspace Model: Layered Halfspace pts/draco-1.6.1 -i church.ply Model: Church Facade pts/avifenc-1.4.1 -s 2 Encoder Speed: 2 pts/build-ffmpeg-7.0.0 Time To Compile pts/onednn-3.4.0 --conv --batch=inputs/conv/shapes_auto --engine=cpu Harness: Convolution Batch Shapes Auto - Engine: CPU pts/ffmpeg-7.0.1 --encoder=libx264 vod Encoder: libx264 - Scenario: Video On Demand pts/specfem3d-1.1.0 waterlayered_halfspace Model: Water-layered Halfspace pts/rocksdb-1.6.0 --benchmarks="fillseq" Test: Sequential Fill 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/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/avifenc-1.4.1 -s 10 -l Encoder Speed: 10, Lossless 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/svt-av1-2.12.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_3d --engine=cpu Harness: IP Shapes 3D - Engine: CPU pts/jpegxl-1.6.0 sample-4.png out.jxl -q 100 --num_reps 20 Input: PNG - Quality: 100 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/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/build-mesa-1.1.0 Time To Compile pts/jpegxl-1.6.0 sample-4.png out.jxl -q 90 --num_reps 50 Input: PNG - Quality: 90 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/ffmpeg-7.0.1 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand 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/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 pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 50 Input: JPEG - Quality: 90 pts/openssl-3.3.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/astcenc-1.5.1 -medium -repeats 40 Preset: Medium 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/jpegxl-1.6.0 sample-4.png out.jxl -q 80 --num_reps 80 Input: PNG - Quality: 80 pts/astcenc-1.5.1 -fast -repeats 150 Preset: Fast pts/astcenc-1.5.1 -thorough -repeats 20 Preset: Thorough pts/ffmpeg-7.0.1 --encoder=libx264 platform Encoder: libx264 - Scenario: Platform pts/ffmpeg-7.0.1 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_3d --engine=cpu Harness: Deconvolution Batch shapes_3d - Engine: CPU pts/ffmpeg-7.0.1 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform 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/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/onednn-3.4.0 --ip --batch=inputs/ip/shapes_1d --engine=cpu Harness: IP Shapes 1D - Engine: CPU pts/graphics-magick-2.2.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.2.0 -swirl 90 Operation: Swirl 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