TUXEDO OS Laptops

Benchmarks for a future article on Phoronix.

HTML result view exported from: https://openbenchmarking.org/result/2404014-NE-2403264NE77&grs&rdt.

TUXEDO OS LaptopsProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads)NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS)AMD Renoir/Cezanne2 x 8GB DDR4-3200MT/s Samsung M471A1K43DB1-CWESamsung SSD 970 EVO Plus 500GBAMD Lucienne 512MB (1800/1333MHz)AMD Renoir Radeon HD AudioRealtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200Tuxedo 22.046.5.0-10027-tuxedo (x86_64)KDE Plasma 5.27.10X Server 1.21.1.44.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54)1.3.274GCC 11.4.0ext41920x1080AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS)AMD Device 14e84 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT2000GB Samsung SSD 980 PRO 2TBAMD Phoenix1 4GB (2700/800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7921K2880x1800OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- TUXEDO Aura 15 Gen2: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0x8608103- TUXEDO Pulse 14 Gen3: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104Graphics Details- TUXEDO Aura 15 Gen2: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016- TUXEDO Pulse 14 Gen3: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001Python Details- Python 3.10.12Security Details- TUXEDO Aura 15 Gen2: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - TUXEDO Pulse 14 Gen3: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

TUXEDO OS Laptopsopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUnamd: ATPase with 327,506 Atomsopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUnamd: STMV with 1,066,628 Atomsopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUtensorflow: CPU - 64 - ResNet-50openvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUspeedb: Rand Readunvanquished: 1920 x 1080 - Ultraospray-studio: 1 - 4K - 32 - Path Tracer - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUopenvino: Person Detection FP32 - CPUtensorflow: CPU - 1 - ResNet-50openvino: Person Detection FP32 - CPUrocksdb: Rand Readopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUv-ray: CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUstockfish: Chess Benchmarkprimesieve: 1e12unvanquished: 1920 x 1080 - Highpytorch: CPU - 32 - ResNet-50pytorch: CPU - 1 - ResNet-50unvanquished: 1920 x 1080 - Mediumcompress-7zip: Decompression Ratinggromacs: MPI CPU - water_GMX50_barexonotic: 1920 x 1080 - Ultimatespeedb: Read Rand Write Randxonotic: 1920 x 1080 - Ultrabuild-linux-kernel: defconfigbuild-ffmpeg: Time To Compileopenvino: Face Detection Retail FP16-INT8 - CPUembree: Pathtracer ISPC - Crownbuild-godot: Time To Compileopenvino: Weld Porosity Detection FP16 - CPUrocksdb: Rand Fill Syncrocksdb: Update Randsvt-av1: Preset 8 - Bosphorus 4Kspeedb: Update Randsvt-av1: Preset 4 - Bosphorus 4Krocksdb: Seq Fillcompress-7zip: Compression Ratingrocksdb: Read Rand Write Randspeedb: Seq Fillspeedb: Rand Fillrocksdb: Read While Writingspeedb: Read While Writingsvt-av1: Preset 13 - Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragonsvt-av1: Preset 12 - Bosphorus 4Krocksdb: Overwriterocksdb: Rand Fillspeedb: Rand Fill Syncdarktable: Server Rack - CPU-onlydarktable: Boat - CPU-onlyffmpeg: libx265 - Uploadffmpeg: libx265 - Video On Demandffmpeg: libx265 - Platformrawtherapee: Total Benchmark Timeffmpeg: libx265 - Liveopenvino: Noise Suppression Poconet-Like FP16 - CPUgimp: resizedarktable: Server Room - CPU-onlydarktable: Masskrug - CPU-onlygimp: unsharp-maskgimp: auto-levelsgimp: rotateTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3189.551.912079.3324.71161.753209.154947.7465.3561.7431.6328.40140.700.31387446.62133.430.096721.831.462719.746.38232.2517.221.1991.7497.1110.51213.5718.69379.333834437960222.894159120.71192.8856.8270.3620909181137.2101187415.15263.8250472315.284.59261.4321417199108.8436.7097039748848765311120863563125607506338.746187.413.2322.10207.1328780.563136.3112665954134196.9339832228.333101.6158.935.5571802.09229.9571087029717916.7822664772.107756689372359083125286934567101026248146425846.1617.049446.7305491665719395621480.3307.86314.6130.0830.1782.29680.0017.9021.4065.4067.41623.44220.46019.9721165.2111.62344.05142.8327.9917738.9525345.29329.81306.166.856.23640.441.405151998.45593.320.415730.455.93673.0925.6858.7568.050.3124.2426.112.91771.205.181366.921072910930765.02128406.45619.2617.70225.8364182489404.234669743.7691.3717485043.5613.0891.7960173235303.0313.19353259178689177624125952082361622188915.181471.132.3552.13486.2762841.304314.91998412188099446.4337141101.46545.3783.9912.4081360.41413.47156629065466836.5345794694.554161420879418191790911069319562022133510301736294.42014.409095.3511089326109987310794110.1734.22826.5453.5253.5746.961140.0710.3712.6743.2394.54714.65813.10412.801OpenBenchmarking.org

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen330060090012001500SE +/- 0.27, N = 3SE +/- 0.98, N = 3189.551165.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33691215SE +/- 0.00, N = 3SE +/- 0.03, N = 31.9111.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3400800120016002000SE +/- 3.09, N = 3SE +/- 0.79, N = 32079.33344.05MIN: 1210.27 / MAX: 2162.89MIN: 283.94 / MAX: 365.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3306090120150SE +/- 0.00, N = 3SE +/- 2.04, N = 324.71142.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen34080120160200SE +/- 0.02, N = 3SE +/- 0.39, N = 3161.7527.99MIN: 78.53 / MAX: 209.28MIN: 11.57 / MAX: 54.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen34K8K12K16K20KSE +/- 9.64, N = 3SE +/- 26.75, N = 33209.1517738.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen35K10K15K20K25KSE +/- 6.22, N = 3SE +/- 23.11, N = 34947.7425345.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen370140210280350SE +/- 0.29, N = 3SE +/- 1.68, N = 365.35329.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen370140210280350SE +/- 0.42, N = 3SE +/- 1.54, N = 361.74306.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 331.636.85MIN: 15.72 / MAX: 46.95MIN: 3.56 / MAX: 30.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3714212835SE +/- 0.05, N = 3SE +/- 0.02, N = 328.406.23MIN: 15.74 / MAX: 44.81MIN: 3.16 / MAX: 28.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3140280420560700SE +/- 0.24, N = 3SE +/- 1.68, N = 3140.70640.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.31620.63240.94861.26481.581SE +/- 0.00029, N = 3SE +/- 0.00159, N = 30.313871.40515

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3400800120016002000SE +/- 1.07, N = 3SE +/- 2.84, N = 3446.621998.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3130260390520650SE +/- 0.54, N = 3SE +/- 0.22, N = 3133.43593.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.09350.1870.28050.3740.4675SE +/- 0.00008, N = 3SE +/- 0.00099, N = 30.096720.41573

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.41180.82361.23541.64722.059SE +/- 0.01, N = 3SE +/- 0.00, N = 31.830.45MIN: 1.01 / MAX: 21.91MIN: 0.24 / MAX: 21.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31.33432.66864.00295.33726.6715SE +/- 0.00, N = 3SE +/- 0.01, N = 31.465.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen36001200180024003000SE +/- 1.60, N = 3SE +/- 0.75, N = 32719.74673.09MIN: 1847.13 / MAX: 2832.21MIN: 591.94 / MAX: 698.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3612182430SE +/- 0.05, N = 9SE +/- 0.01, N = 36.3825.68

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen350100150200250SE +/- 2.64, N = 4SE +/- 0.07, N = 3232.2558.75MIN: 129.56 / MAX: 283.16MIN: 33.05 / MAX: 82.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31530456075SE +/- 0.19, N = 4SE +/- 0.08, N = 317.2268.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.26780.53560.80341.07121.339SE +/- 0.00, N = 3SE +/- 0.00, N = 31.190.31MIN: 0.59 / MAX: 17.69MIN: 0.18 / MAX: 20.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320406080100SE +/- 0.40, N = 3SE +/- 0.13, N = 391.7424.24MIN: 54.49 / MAX: 116.82MIN: 14.45 / MAX: 49.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320406080100SE +/- 0.67, N = 3SE +/- 0.13, N = 397.1126.11MIN: 58.04 / MAX: 125.51MIN: 16.34 / MAX: 59.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33691215SE +/- 0.05, N = 3SE +/- 0.00, N = 310.512.91MIN: 5.03 / MAX: 33.77MIN: 1.65 / MAX: 14.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3170340510680850SE +/- 0.37, N = 3SE +/- 0.96, N = 3213.57771.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 318.695.18MIN: 9.93 / MAX: 41.71MIN: 3.19 / MAX: 25.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen330060090012001500SE +/- 1.93, N = 3SE +/- 1.68, N = 3379.331366.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen38K16K24K32K40KSE +/- 187.10, N = 3SE +/- 26.74, N = 33834410729

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen38K16K24K32K40KSE +/- 212.70, N = 3SE +/- 27.78, N = 33796010930

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3160320480640800SE +/- 0.41, N = 3SE +/- 2.44, N = 3222.89765.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen39K18K27K36K45KSE +/- 38.94, N = 3SE +/- 13.86, N = 34159112840

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3510152025SE +/- 0.04, N = 3SE +/- 0.08, N = 320.716.45MIN: 11.13 / MAX: 45.38MIN: 4.47 / MAX: 19.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3130260390520650SE +/- 0.40, N = 3SE +/- 7.91, N = 3192.88619.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31326395265SE +/- 0.69, N = 4SE +/- 0.17, N = 356.8217.70MIN: 31.8 / MAX: 149.65MIN: 10.61 / MAX: 34.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen350100150200250SE +/- 0.84, N = 4SE +/- 2.15, N = 370.36225.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen314M28M42M56M70MSE +/- 93411.12, N = 3SE +/- 296619.43, N = 320909181641824891. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Ultra

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: UltraTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen390180270360450SE +/- 0.99, N = 3SE +/- 2.52, N = 3137.2404.2

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 889.64, N = 3SE +/- 906.11, N = 31011874346697

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31020304050SE +/- 0.06, N = 3SE +/- 0.01, N = 315.1543.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen360120180240300SE +/- 1.12, N = 3SE +/- 0.01, N = 3263.8291.37MIN: 146.34 / MAX: 313.37MIN: 68.77 / MAX: 117.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3110K220K330K440K550KSE +/- 1755.68, N = 3SE +/- 377.86, N = 3504723174850

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31020304050SE +/- 0.03, N = 3SE +/- 0.08, N = 315.2843.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33691215SE +/- 0.00, N = 3SE +/- 0.02, N = 44.5913.08

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen360120180240300SE +/- 0.48, N = 3SE +/- 0.18, N = 3261.4391.79MIN: 125.92 / MAX: 314.13MIN: 69.11 / MAX: 117.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen313M26M39M52M65MSE +/- 42517.37, N = 3SE +/- 165559.18, N = 321417199601732351. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen370140210280350SE +/- 0.20, N = 3SE +/- 0.40, N = 3108.84303.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3816243240SE +/- 0.07, N = 3SE +/- 0.02, N = 336.7013.19MIN: 19.54 / MAX: 62.58MIN: 4.69 / MAX: 42.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 1362.38, N = 3SE +/- 469.26, N = 3970397353259

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3100K200K300K400K500KSE +/- 227.15, N = 3SE +/- 161.97, N = 3488487178689

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen34K8K12K16K20KSE +/- 22.33, N = 3SE +/- 66.91, N = 3653117762

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 846.12, N = 3SE +/- 539.10, N = 31120863412595

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3120K240K360K480K600KSE +/- 488.65, N = 3SE +/- 164.36, N = 3563125208236

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33M6M9M12M15MSE +/- 48344.69, N = 3SE +/- 152182.30, N = 6607506316221889-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mbmi21. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -flto -flto-partition=one -flto=jobserver

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3918273645SE +/- 0.04, N = 3SE +/- 0.01, N = 438.7515.181. (CXX) g++ options: -O3

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: High

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: HighTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3100200300400500SE +/- 1.22, N = 3SE +/- 1.97, N = 3187.4471.1

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3816243240SE +/- 0.04, N = 3SE +/- 0.32, N = 613.2332.35MIN: 11.04 / MAX: 13.61MIN: 22.25 / MAX: 33.75

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31224364860SE +/- 0.23, N = 3SE +/- 0.17, N = 322.1052.13MIN: 19.97 / MAX: 22.93MIN: 43.98 / MAX: 53.65

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: MediumTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3110220330440550SE +/- 1.96, N = 3SE +/- 6.12, N = 3207.1486.2

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen316K32K48K64K80KSE +/- 81.72, N = 3SE +/- 108.07, N = 332878762841. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.29340.58680.88021.17361.467SE +/- 0.002, N = 3SE +/- 0.003, N = 30.5631.3041. (CXX) g++ options: -O3 -lm

Xonotic

Resolution: 1920 x 1080 - Effects Quality: Ultimate

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: UltimateTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen370140210280350SE +/- 1.74, N = 9SE +/- 0.41, N = 3136.31314.92MIN: 53 / MAX: 235MIN: 90 / MAX: 626

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3500K1000K1500K2000K2500KSE +/- 329.94, N = 3SE +/- 5248.64, N = 395413421880991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Xonotic

Resolution: 1920 x 1080 - Effects Quality: Ultra

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: UltraTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3100200300400500SE +/- 0.44, N = 3SE +/- 0.21, N = 3196.93446.43MIN: 111 / MAX: 300MIN: 265 / MAX: 716

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen350100150200250SE +/- 0.81, N = 3SE +/- 0.54, N = 3228.33101.47

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320406080100SE +/- 0.13, N = 3SE +/- 0.05, N = 3101.6245.38

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3246810SE +/- 0.02, N = 3SE +/- 0.01, N = 38.933.99MIN: 4.98 / MAX: 24.45MIN: 2.26 / MAX: 21.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33691215SE +/- 0.0439, N = 3SE +/- 0.0165, N = 35.557112.4081MIN: 5.43 / MAX: 5.73MIN: 12.21 / MAX: 12.77

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen32004006008001000SE +/- 9.26, N = 3SE +/- 0.14, N = 3802.09360.41

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3714212835SE +/- 0.12, N = 3SE +/- 0.01, N = 329.9513.47MIN: 15.97 / MAX: 50.33MIN: 6.8 / MAX: 38.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random Fill SyncTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3300K600K900K1200K1500KSE +/- 2073.98, N = 3SE +/- 3815.82, N = 371087015662901. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3140K280K420K560K700KSE +/- 136.39, N = 3SE +/- 2189.55, N = 32971796546681. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3816243240SE +/- 0.02, N = 3SE +/- 0.04, N = 316.7836.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3120K240K360K480K600KSE +/- 38.08, N = 3SE +/- 1074.17, N = 32664775794691. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31.02472.04943.07414.09885.1235SE +/- 0.001, N = 3SE +/- 0.011, N = 32.1074.5541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Sequential FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3300K600K900K1200K1500KSE +/- 3422.14, N = 4SE +/- 8572.96, N = 575668916142081. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320K40K60K80K100KSE +/- 16.19, N = 3SE +/- 205.01, N = 337235794181. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3400K800K1200K1600K2000KSE +/- 9816.70, N = 3SE +/- 2463.86, N = 390831219179091. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 823.46, N = 3SE +/- 2484.37, N = 452869311069311. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 2305.47, N = 3SE +/- 1400.61, N = 34567109562021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3500K1000K1500K2000K2500KSE +/- 2151.70, N = 3SE +/- 7523.48, N = 3102624821335101. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3600K1200K1800K2400K3000KSE +/- 12199.95, N = 3SE +/- 37898.55, N = 3146425830173621. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320406080100SE +/- 0.47, N = 4SE +/- 0.82, N = 746.1694.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen348121620SE +/- 0.0190, N = 3SE +/- 0.0133, N = 37.049414.4090MIN: 6.97 / MAX: 7.16MIN: 14.23 / MAX: 14.72

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320406080100SE +/- 0.10, N = 4SE +/- 0.21, N = 646.7395.351. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

RocksDB

Test: Overwrite

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: OverwriteTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 4848.84, N = 3SE +/- 2468.05, N = 354916610893261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 378.21, N = 3SE +/- 6305.47, N = 357193910998731. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill SyncTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 1186.35, N = 3SE +/- 2736.14, N = 356214810794111. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Darktable

Test: Server Rack - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.07430.14860.22290.29720.3715SE +/- 0.001, N = 12SE +/- 0.001, N = 150.3300.173

Darktable

Test: Boat - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3246810SE +/- 0.028, N = 5SE +/- 0.006, N = 77.8634.228

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3612182430SE +/- 0.06, N = 3SE +/- 0.02, N = 314.6126.541. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31224364860SE +/- 0.13, N = 3SE +/- 0.04, N = 330.0853.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31224364860SE +/- 0.15, N = 3SE +/- 0.00, N = 330.1753.571. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen320406080100SE +/- 0.01, N = 3SE +/- 0.04, N = 382.3046.961. RawTherapee, version 5.8, command line.

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3306090120150SE +/- 0.53, N = 3SE +/- 0.32, N = 380.00140.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen348121620SE +/- 0.03, N = 3SE +/- 0.03, N = 317.9010.37MIN: 11.03 / MAX: 39.21MIN: 6.94 / MAX: 40.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

GIMP

Test: resize

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resizeTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3510152025SE +/- 0.30, N = 3SE +/- 0.02, N = 421.4112.67

Darktable

Test: Server Room - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31.21642.43283.64924.86566.082SE +/- 0.003, N = 6SE +/- 0.013, N = 85.4063.239

Darktable

Test: Masskrug - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3246810SE +/- 0.008, N = 5SE +/- 0.008, N = 77.4164.547

GIMP

Test: unsharp-mask

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-maskTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 423.4414.66

GIMP

Test: auto-levels

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levelsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 420.4613.10

GIMP

Test: rotate

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotateTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3510152025SE +/- 0.01, N = 3SE +/- 0.13, N = 419.9712.80

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.216.823.5OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor816243240

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.414.419.2OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor612182430

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.221.839.1OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor1122334455

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.318.525.1OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor816243240

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.06.120.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor612182430

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.221.152.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor1530456075

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.424.451.5OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor1530456075

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Pulse 14 Gen32.126.154.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor1530456075

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 1.02 / Avg: 19.71 / Max: 30.26Min: 1.27 / Avg: 45.54 / Max: 54.93

GROMACS

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.223.130.2TUXEDO Pulse 14 Gen32.250.754.0OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor1530456075

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.00590.01180.01770.02360.02950.0240.026

NAMD

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.15 / Avg: 24.02 / Max: 28.59Min: 2.18 / Avg: 51.93 / Max: 54.47

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.00180.00360.00540.00720.0090.0040.008

NAMD

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.123.528.9TUXEDO Pulse 14 Gen32.448.254.5OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor1530456075

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.00650.0130.01950.0260.03250.0130.029

Embree

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.325.129.9TUXEDO Pulse 14 Gen32.650.554.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor1530456075

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.05540.11080.16620.22160.2770.2210.246

Embree

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.325.830.0TUXEDO Pulse 14 Gen32.150.054.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor1530456075

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.06480.12960.19440.25920.3240.2720.288

OSPRay Studio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.21 / Avg: 25.18 / Max: 29.95Min: 2.37 / Avg: 52.51 / Max: 54.5

OSPRay Studio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.2 / Avg: 24.79 / Max: 30.15Min: 2.35 / Avg: 51.14 / Max: 54.5

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen21.417.830.1TUXEDO Pulse 14 Gen32.145.854.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor1530456075

OSPRay Studio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.08 / Avg: 24.67 / Max: 29.95Min: 2.43 / Avg: 52.25 / Max: 54.5

OSPRay Studio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.29 / Avg: 24.16 / Max: 29.95Min: 2.48 / Avg: 50.71 / Max: 54.5

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.215.429.4TUXEDO Pulse 14 Gen32.743.554.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor1530456075

OSPRay Studio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.25 / Avg: 20.42 / Max: 27.97Min: 2.49 / Avg: 52.31 / Max: 54.5

OSPRay Studio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.17 / Avg: 20.46 / Max: 27.77Min: 2.68 / Avg: 50.56 / Max: 54.49

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.214.527.8TUXEDO Pulse 14 Gen32.243.354.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor1530456075

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.216.020.7TUXEDO Pulse 14 Gen32.445.254.5OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 6.0CPU Power Consumption Monitor1530456075

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 6.0Mode: CPUTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen390180270360450408.82393.34

Primesieve

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.317.927.9TUXEDO Pulse 14 Gen32.743.054.5OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor1530456075

Stockfish

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.224.030.0TUXEDO Pulse 14 Gen32.552.354.9OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption Monitor1530456075

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen370K140K210K280K350K253495.48310274.72

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.322.629.0TUXEDO Pulse 14 Gen32.549.653.8OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Overwrite

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: OverwriteTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen35K10K15K20K25K24320.0121963.32

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.325.630.0TUXEDO Pulse 14 Gen32.050.354.5OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Update RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33K6K9K12K15K11623.8213027.14

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.125.529.9TUXEDO Pulse 14 Gen32.650.454.5OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read Random Write RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen38K16K24K32K40K35680.3338030.52

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.225.330.0TUXEDO Pulse 14 Gen32.350.654.4OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read While WritingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen39K18K27K36K45K40582.5342174.72

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.323.530.0TUXEDO Pulse 14 Gen32.650.754.4OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3300K600K900K1200K1500K912317.591185726.97

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.324.726.9TUXEDO Pulse 14 Gen32.549.253.3OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random Fill SyncTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen37K14K21K28K35K28784.8431816.20

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.223.727.2TUXEDO Pulse 14 Gen32.349.754.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen35K10K15K20K25K24121.0022116.64

RocksDB

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen21.419.326.4TUXEDO Pulse 14 Gen32.537.653.3OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Sequential FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen39K18K27K36K45K39283.8342961.48

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.321.925.9TUXEDO Pulse 14 Gen32.348.452.9OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1530456075

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen33K6K9K12K15K12194.5311975.63

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.321.627.5TUXEDO Pulse 14 Gen32.449.654.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1530456075

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen39K18K27K36K45K44135.4644076.62

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.221.529.9TUXEDO Pulse 14 Gen32.450.654.4OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1530456075

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen315K30K45K60K75K68145.2159633.61

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.220.129.3TUXEDO Pulse 14 Gen32.650.654.4OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1530456075

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3300K600K900K1200K1500K1041089.711268814.51

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.217.921.9TUXEDO Pulse 14 Gen32.646.050.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1428425670

Speedb

Test: Random Fill Sync

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random Fill SyncTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen37K14K21K28K35K31385.6723442.43

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.216.422.1TUXEDO Pulse 14 Gen32.446.450.9OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1428425670

Speedb

Test: Random Fill

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen36K12K18K24K30K27816.2620595.06

Speedb

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.213.721.3TUXEDO Pulse 14 Gen32.338.750.6OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1428425670

Speedb

Test: Sequential Fill

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Sequential FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen38K16K24K32K40K38488.2928602.28

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.313.720.1TUXEDO Pulse 14 Gen32.644.054.5OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor1530456075

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen350010001500200025002405.091734.29

TensorFlow

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.22 / Avg: 15.76 / Max: 29.27Min: 2.71 / Avg: 51.05 / Max: 54.07

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.11320.22640.33960.45280.5660.4050.503

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.421.329.2TUXEDO Pulse 14 Gen32.533.554.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1530456075

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.0880.1760.2640.3520.440.2150.391

PyTorch

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.225.929.4TUXEDO Pulse 14 Gen31.848.154.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor1530456075

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.15140.30280.45420.60560.7570.5110.673

PyTorch

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.224.229.6TUXEDO Pulse 14 Gen32.642.654.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor1530456075

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.2750.550.8251.11.3750.9121.222

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.223.430.0TUXEDO Pulse 14 Gen32.550.554.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.122.230.0TUXEDO Pulse 14 Gen32.650.454.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.224.330.1TUXEDO Pulse 14 Gen32.650.454.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.325.428.9TUXEDO Pulse 14 Gen32.750.754.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.222.130.0TUXEDO Pulse 14 Gen32.250.454.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.122.229.9TUXEDO Pulse 14 Gen32.550.454.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.224.429.9TUXEDO Pulse 14 Gen32.350.654.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.223.230.1TUXEDO Pulse 14 Gen32.344.754.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.222.330.3TUXEDO Pulse 14 Gen32.050.154.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.323.230.0TUXEDO Pulse 14 Gen32.450.554.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.324.430.0TUXEDO Pulse 14 Gen32.550.454.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.225.030.1TUXEDO Pulse 14 Gen32.550.254.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.321.930.2TUXEDO Pulse 14 Gen32.549.954.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.124.930.0TUXEDO Pulse 14 Gen32.450.454.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.223.730.2TUXEDO Pulse 14 Gen32.550.254.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.324.130.2TUXEDO Pulse 14 Gen32.650.154.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.325.529.9TUXEDO Pulse 14 Gen32.450.654.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.224.630.2TUXEDO Pulse 14 Gen32.650.454.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.224.130.0TUXEDO Pulse 14 Gen32.550.054.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.221.630.0TUXEDO Pulse 14 Gen32.450.154.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor1530456075

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.223.129.9TUXEDO Pulse 14 Gen32.445.054.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor1530456075

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.02270.04540.06810.09080.11350.0910.101

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.221.929.8TUXEDO Pulse 14 Gen31.341.554.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor1530456075

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.19780.39560.59340.79120.9890.7650.879

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.119.530.1TUXEDO Pulse 14 Gen32.132.254.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor1530456075

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.66691.33382.00072.66763.33452.3992.964

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.119.630.1TUXEDO Pulse 14 Gen32.432.054.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor1530456075

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.66421.32841.99262.65683.3212.3612.952

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.120.830.1TUXEDO Pulse 14 Gen32.442.652.6OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.32540.65080.97621.30161.6271.4461.257

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.121.130.0TUXEDO Pulse 14 Gen32.442.752.9OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.3220.6440.9661.2881.611.4311.256

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.218.229.9TUXEDO Pulse 14 Gen32.536.754.1OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen30.18090.36180.54270.72360.90450.8040.724

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.015.225.4TUXEDO Pulse 14 Gen32.236.352.4OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31.18062.36123.54184.72245.9035.2473.862

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.18 / Avg: 16.31 / Max: 25.21Min: 2.14 / Avg: 50.09 / Max: 54.61

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen21.317.627.2TUXEDO Pulse 14 Gen32.245.554.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor1530456075

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.316.823.1TUXEDO Pulse 14 Gen32.645.954.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor1530456075

Unvanquished

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.314.622.7TUXEDO Pulse 14 Gen32.632.151.7OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.54CPU Power Consumption Monitor1530456075

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Ultra

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: UltraTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen336912159.40812.606

Unvanquished

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.313.220.6TUXEDO Pulse 14 Gen32.726.749.1OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.54CPU Power Consumption Monitor1428425670

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: High

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: HighTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen34812162014.1517.65

Unvanquished

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.312.420.7TUXEDO Pulse 14 Gen32.722.441.5OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.54CPU Power Consumption Monitor1122334455

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: MediumTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen351015202516.6921.66

Xonotic

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.6CPU Power Consumption MonitorTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen31122334455Min: 2.22 / Avg: 15.59 / Max: 25.58Min: 2.47 / Avg: 39.96 / Max: 53.34

Xonotic

Resolution: 1920 x 1080 - Effects Quality: Ultimate

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: UltimateTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen32468108.7417.881

Xonotic

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.324.027.8TUXEDO Pulse 14 Gen32.245.553.7OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.6CPU Power Consumption Monitor1530456075

Xonotic

Resolution: 1920 x 1080 - Effects Quality: Ultra

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: UltraTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen336912158.2049.819

RawTherapee

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.119.128.1TUXEDO Pulse 14 Gen32.334.846.8OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor1428425670

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.17.19.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMPCPU Power Consumption Monitor4.428.8413.2617.6822.1

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.15.76.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMPCPU Power Consumption Monitor3691215

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.29.717.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMPCPU Power Consumption Monitor510152025

GIMP

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.18.613.1OpenBenchmarking.orgWatts, Fewer Is BetterGIMPCPU Power Consumption Monitor48121620

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.14.714.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktableCPU Power Consumption Monitor510152025

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.113.429.3OpenBenchmarking.orgWatts, Fewer Is BetterDarktableCPU Power Consumption Monitor918273645

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.014.729.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktableCPU Power Consumption Monitor918273645

Darktable

CPU Power Consumption Monitor

MinAvgMaxTUXEDO Aura 15 Gen22.116.829.3OpenBenchmarking.orgWatts, Fewer Is BetterDarktableCPU Power Consumption Monitor918273645

Phoronix Test Suite v10.8.5