12600k sept

Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 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 2209087-PTS-12600KSE38
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Timed Code Compilation 5 Tests
C/C++ Compiler Tests 6 Tests
Compression Tests 2 Tests
CPU Massive 9 Tests
Creator Workloads 7 Tests
Database Test Suite 6 Tests
Game Development 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 4 Tests
Multi-Core 14 Tests
NVIDIA GPU Compute 2 Tests
Programmer / Developer System Benchmarks 7 Tests
Python Tests 4 Tests
Renderers 2 Tests
Server 7 Tests
Server CPU Tests 5 Tests
Common Workstation Benchmarks 2 Tests

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A
September 07 2022
  1 Day, 7 Hours, 29 Minutes
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September 08 2022
  1 Day, 7 Hours, 32 Minutes
C
September 08 2022
  1 Day, 6 Hours, 38 Minutes
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  1 Day, 7 Hours, 13 Minutes

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12600k sept Suite 1.0.0 System Test suite extracted from 12600k sept. pts/unvanquished-1.7.0 +set r_customWidth 2560 +set r_customHeight 1440 +preset presets/graphics/medium.cfg Resolution: 2560 x 1440 - Effects Quality: Medium pts/unvanquished-1.7.0 +set r_customWidth 3840 +set r_customHeight 2160 +preset presets/graphics/medium.cfg Resolution: 3840 x 2160 - Effects Quality: Medium pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/medium.cfg Resolution: 1920 x 1080 - Effects Quality: Medium pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1200 +preset presets/graphics/medium.cfg Resolution: 1920 x 1200 - Effects Quality: Medium pts/unvanquished-1.7.0 +set r_customWidth 2560 +set r_customHeight 1440 +preset presets/graphics/ultra.cfg Resolution: 2560 x 1440 - 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/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 1920 +set r_customHeight 1200 +preset presets/graphics/ultra.cfg Resolution: 1920 x 1200 - Effects Quality: Ultra 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 2560 +set r_customHeight 1440 +preset presets/graphics/high.cfg Resolution: 2560 x 1440 - Effects Quality: High pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1200 +preset presets/graphics/high.cfg Resolution: 1920 x 1200 - Effects Quality: High pts/brl-cad-1.3.0 VGR Performance Metric pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/ai-benchmark-1.0.2 Device Inference Score pts/ai-benchmark-1.0.2 Device Training Score pts/ai-benchmark-1.0.2 Device AI Score pts/mnn-2.1.0 Model: nasnet pts/mnn-2.1.0 Model: mobilenetV3 pts/mnn-2.1.0 Model: squeezenetv1.1 pts/mnn-2.1.0 Model: resnet-v2-50 pts/mnn-2.1.0 Model: SqueezeNetV1.0 pts/mnn-2.1.0 Model: MobileNetV2_224 pts/mnn-2.1.0 Model: mobilenet-v1-1.0 pts/mnn-2.1.0 Model: inception-v3 pts/ncnn-1.4.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.4.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.4.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.4.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.4.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.4.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.4.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.4.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.4.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.4.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.4.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.4.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.4.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.4.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.4.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.4.0 -1 Target: CPU - Model: vision_transformer pts/ncnn-1.4.0 -1 Target: CPU - Model: FastestDet pts/ncnn-1.4.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.4.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.4.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.4.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.4.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.4.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.4.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.4.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.4.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.4.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.4.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.4.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.4.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.4.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.4.0 Target: Vulkan GPU - Model: regnety_400m pts/ncnn-1.4.0 Target: Vulkan GPU - Model: vision_transformer pts/ncnn-1.4.0 Target: Vulkan GPU - Model: FastestDet pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/lammps-1.4.0 in.rhodo Model: Rhodopsin Protein 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/aircrack-ng-1.3.0 pts/primesieve-1.9.0 1e12 Length: 1e12 pts/primesieve-1.9.0 1e13 Length: 1e13 pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/build-php-1.6.0 Time To Compile pts/graphics-magick-2.1.0 -swirl 90 Operation: Swirl pts/graphics-magick-2.1.0 -rotate 90 Operation: Rotate pts/graphics-magick-2.1.0 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.1.0 -enhance Operation: Enhanced pts/graphics-magick-2.1.0 -resize 50% Operation: Resizing pts/graphics-magick-2.1.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.1.0 -colorspace HWB Operation: HWB Color Space 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-av1-2.6.0 --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-av1-2.6.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.6.0 --preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 10 - Input: Bosphorus 1080p pts/svt-av1-2.6.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/blender-3.3.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-3.3.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-3.3.0 -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-3.3.0 -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-3.3.0 -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/natron-1.1.0 Natron_2.3.12_Spaceship/Natron_project/Spaceship_Natron.ntp Input: Spaceship 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/build-erlang-1.2.0 Time To Compile pts/build-nodejs-1.2.0 Time To Compile pts/build-wasmer-1.2.0 Time To Compile pts/blosc-1.2.0 blosclz shuffle Test: blosclz shuffle pts/blosc-1.2.0 blosclz bitshuffle Test: blosclz bitshuffle 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/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time 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/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Group By Test Time pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time pts/spark-1.0.0 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Group By Test Time pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time pts/spark-1.0.0 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Group By Test Time pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time pts/spark-1.0.0 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Group By Test Time pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time pts/spark-1.0.0 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time pts/dragonflydb-1.0.0 -c 50 --ratio=1:1 Clients: 50 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 50 --ratio=1:5 Clients: 50 - Set To Get Ratio: 1:5 pts/dragonflydb-1.0.0 -c 50 --ratio=5:1 Clients: 50 - Set To Get Ratio: 5:1 pts/dragonflydb-1.0.0 -c 200 --ratio=1:1 Clients: 200 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 200 --ratio=1:5 Clients: 200 - Set To Get Ratio: 1:5 pts/dragonflydb-1.0.0 -c 200 --ratio=5:1 Clients: 200 - Set To Get Ratio: 5:1 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 100 Test: PUT - Connections: 50 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 100 Test: PUT - Connections: 50 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 100 Test: PUT - Connections: 100 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 100 Test: PUT - Connections: 100 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 1000 Test: PUT - Connections: 50 - Clients: 1000 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 1000 Test: PUT - Connections: 50 - Clients: 1000 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 100 Test: PUT - Connections: 500 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 100 Test: PUT - Connections: 500 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 1000 Test: PUT - Connections: 100 - Clients: 1000 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 1000 Test: PUT - Connections: 100 - Clients: 1000 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 1000 Test: PUT - Connections: 500 - Clients: 1000 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 1000 Test: PUT - Connections: 500 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 100 Test: RANGE - Connections: 50 - Clients: 100 pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 100 Test: RANGE - Connections: 50 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 100 Test: RANGE - Connections: 100 - Clients: 100 pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 100 Test: RANGE - Connections: 100 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 1000 Test: RANGE - Connections: 50 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 1000 Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 100 Test: RANGE - Connections: 500 - Clients: 100 pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 100 Test: RANGE - Connections: 500 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 1000 Test: RANGE - Connections: 100 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 1000 Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 1000 Test: RANGE - Connections: 500 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 1000 Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:5 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=5:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:5 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=5:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:1 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:5 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=5:1 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:10 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 pts/redis-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/redis-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/redis-1.4.0 -t get -c 500 Test: GET - Parallel Connections: 500 pts/redis-1.4.0 -t lpop -c 50 Test: LPOP - Parallel Connections: 50 pts/redis-1.4.0 -t sadd -c 50 Test: SADD - Parallel Connections: 50 pts/redis-1.4.0 -t set -c 500 Test: SET - Parallel Connections: 500 pts/redis-1.4.0 -t get -c 1000 Test: GET - Parallel Connections: 1000 pts/redis-1.4.0 -t lpop -c 500 Test: LPOP - Parallel Connections: 500 pts/redis-1.4.0 -t lpush -c 50 Test: LPUSH - Parallel Connections: 50 pts/redis-1.4.0 -t sadd -c 500 Test: SADD - Parallel Connections: 500 pts/redis-1.4.0 -t set -c 1000 Test: SET - Parallel Connections: 1000 pts/redis-1.4.0 -t lpop -c 1000 Test: LPOP - Parallel Connections: 1000 pts/redis-1.4.0 -t lpush -c 500 Test: LPUSH - Parallel Connections: 500 pts/redis-1.4.0 -t lpush -c 1000 Test: LPUSH - Parallel Connections: 1000 pts/rocksdb-1.3.0 --benchmarks="fillrandom" Test: Random Fill pts/rocksdb-1.3.0 --benchmarks="readrandom" Test: Random Read pts/rocksdb-1.3.0 --benchmarks="updaterandom" Test: Update Random pts/rocksdb-1.3.0 --benchmarks="fillseq" Test: Sequential Fill pts/rocksdb-1.3.0 --benchmarks="fillsync" Test: Random Fill Sync pts/rocksdb-1.3.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/rocksdb-1.3.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/node-web-tooling-1.0.1 pts/unpack-linux-1.2.0 linux-5.19.tar.xz pts/redis-1.4.0 -t sadd -c 1000 Test: SADD - Parallel Connections: 1000