Intel Core Ultra 7 165U

Benchmarks by Michael Larabel for a future article. Intel Core Ultra 7 165U testing with a LENOVO ThinkPad T14 Gen 5 21MLCTO1WW (N47ET16W 1.05 BIOS) and EFI VGA 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 2405141-NE-INTELCORE88
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Result
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Date
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  Test
  Duration
Lenovo T14 Gen5 - Intel Core Ultra 7 165U
May 13
  16 Hours, 55 Minutes
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Intel Core Ultra 7 165U Suite 1.0.0 System Test suite extracted from Intel Core Ultra 7 165U. pts/build-linux-kernel-1.16.0 defconfig Build: defconfig pts/build-ffmpeg-7.0.0 Time To Compile pts/build-mesa-1.1.0 Time To Compile pts/build-godot-4.0.0 Time To Compile pts/build-php-1.7.0 Time To Compile pts/stargate-1.1.0 44100 512 Sample Rate: 44100 - Buffer Size: 512 pts/stargate-1.1.0 44100 1024 Sample Rate: 44100 - Buffer Size: 1024 pts/stargate-1.1.0 96000 512 Sample Rate: 96000 - Buffer Size: 512 pts/stargate-1.1.0 96000 1024 Sample Rate: 96000 - Buffer Size: 1024 pts/stargate-1.1.0 192000 512 Sample Rate: 192000 - Buffer Size: 512 pts/stargate-1.1.0 192000 1024 Sample Rate: 192000 - Buffer Size: 1024 system/wireguard-1.0.1 system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only system/gimp-1.1.3 unsharp-mask Test: unsharp-mask system/gimp-1.1.3 resize Test: resize system/gimp-1.1.3 rotate Test: rotate system/gimp-1.1.3 auto-levels Test: auto-levels system/rawtherapee-1.0.1 Total Benchmark Time system/octave-benchmark-1.0.1 pts/blender-4.1.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 1920x1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 1920x1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 3840x2160 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 3840x2160 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 1920x1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 1920x1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 3840x2160 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 3840x2160 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/embree-1.6.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.6.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/compress-zstd-1.6.0 -b12 Compression Level: 12 - Compression Speed pts/compress-zstd-1.6.0 -b12 Compression Level: 12 - Decompression Speed pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Decompression Speed pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/astcenc-1.5.1 -fast -repeats 150 Preset: Fast pts/astcenc-1.5.1 -medium -repeats 40 Preset: Medium pts/astcenc-1.5.1 -thorough -repeats 20 Preset: Thorough pts/astcenc-1.5.1 -verythorough -repeats 10 Preset: Very Thorough pts/astcenc-1.5.1 -exhaustive -repeats 6 Preset: Exhaustive pts/avifenc-1.4.1 -s 0 Encoder Speed: 0 pts/avifenc-1.4.1 -s 2 Encoder Speed: 2 pts/avifenc-1.4.1 -s 6 Encoder Speed: 6 pts/avifenc-1.4.1 -s 6 -l Encoder Speed: 6, Lossless pts/avifenc-1.4.1 -s 10 -l Encoder Speed: 10, Lossless pts/graphics-magick-2.2.0 -colorspace HWB Operation: HWB Color Space pts/graphics-magick-2.2.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.2.0 -enhance Operation: Enhanced pts/graphics-magick-2.2.0 -resize 50% Operation: Resizing pts/graphics-magick-2.2.0 -rotate 90 Operation: Rotate pts/graphics-magick-2.2.0 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.2.0 -swirl 90 Operation: Swirl pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 50 Input: JPEG - Quality: 90 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 90 --num_reps 50 Input: PNG - Quality: 90 pts/jpegxl-1.6.0 sample-4.png out.jxl -q 100 --num_reps 20 Input: PNG - Quality: 100 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/webp-1.4.0 Encode Settings: Default pts/webp-1.4.0 -q 100 Encode Settings: Quality 100 pts/webp-1.4.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/webp-1.4.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/webp-1.4.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/specfem3d-1.1.0 layered_halfspace Model: Layered Halfspace pts/specfem3d-1.1.0 waterlayered_halfspace Model: Water-layered Halfspace pts/specfem3d-1.1.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/specfem3d-1.1.0 Mount_StHelens Model: Mount St. Helens pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/openradioss-1.1.1 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/openradioss-1.1.1 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container pts/rnnoise-1.1.0 sample-audio-long.raw Input: 26 Minute Long Talking Sample pts/x265-1.4.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/x265-1.4.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/ffmpeg-7.0.1 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/ffmpeg-7.0.1 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/ffmpeg-7.0.1 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/ffmpeg-7.0.1 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/gromacs-1.9.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/namd-1.3.1 ../f1atpase/f1atpase.namd Input: ATPase with 327,506 Atoms pts/namd-1.3.1 ../stmv/stmv.namd Input: STMV with 1,066,628 Atoms pts/c-ray-2.0.0 -s 1920x1080 -r 16 Resolution: 1080p - Rays Per Pixel: 16 pts/c-ray-2.0.0 -s 3840x2160 -r 16 Resolution: 4K - Rays Per Pixel: 16 pts/c-ray-2.0.0 -s 5120x2880 -r 16 Resolution: 5K - Rays Per Pixel: 16 pts/tensorflow-2.2.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/tensorflow-2.2.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet 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/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/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person 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/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-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/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/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/road-segmentation-adas-0001/FP16-INT8/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS 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/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/stockfish-1.5.0 Chess Benchmark 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/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/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/phpbench-1.1.6 PHP Benchmark Suite pts/pybench-1.1.3 Total For Average Test Times