TUXEDO OS Laptops Pulse 14 Gen 3

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TUXEDO Aura 15 Gen2
March 25
  12 Hours, 10 Minutes
Acer Swift SEF16-43
April 01
  8 Hours, 3 Minutes
TUXEDO Pulse 14 Gen3
April 01
  5 Hours, 22 Minutes
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  8 Hours, 32 Minutes

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TUXEDO Aura 15 Gen2

Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8GB DDR4-3200MT/s Samsung M471A1K43DB1-CWE, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/1333MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200

OS: Tuxedo 22.04, Kernel: 6.5.0-10027-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0x8608103
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016
Python Notes: Python 3.10.12
Security Notes: 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

Acer Swift SEF16-43

Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Tuxedo 22.04, Kernel: 6.5.0-10022-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.267, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3200x2000

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704101
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.10.12
Security Notes: 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 no microcode + 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 Pulse 14 Gen3

Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K

OS: Tuxedo 22.04, Kernel: 6.5.0-10027-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2880x1800

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.10.12
Security Notes: 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 Laptops Pulse 14 Gen 3ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO 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 7840U @ 5.29GHz (8 Cores / 16 Threads)PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS)AMD Device 14e84 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP1024GB Micron_3400_MTFDKBA1T0TFHAMD Phoenix1 512MB (2700/800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7922 802.11ax PCI6.5.0-10022-tuxedo (x86_64)1.3.2673200x2000AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS)4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT2000GB Samsung SSD 980 PRO 2TBAMD Phoenix1 4GB (2700/800MHz)MEDIATEK MT7921K6.5.0-10027-tuxedo (x86_64)1.3.2742880x1800OpenBenchmarking.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- Acer Swift SEF16-43: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704101- 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- Acer Swift SEF16-43: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-PHXGENERIC-001- 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 - Acer Swift SEF16-43: 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 no microcode + 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 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 Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3Result OverviewPhoronix Test Suite100%185%270%354%439%NAMDTensorFlowUnvanquishedOSPRay StudioChaos Group V-RAYStockfishPrimesievePyTorchGROMACSTimed Linux Kernel CompilationTimed FFmpeg Compilation7-Zip CompressionSpeedbTimed Godot Game Engine CompilationRocksDBEmbreeSVT-AV1FFmpegDarktableRawTherapeeGIMP

TUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3Per Watt Result OverviewPhoronix Test Suite100%175%250%325%400%NAMDTensorFlowPyTorchEmbreeGROMACSRocksDBStockfishSpeedbFFmpegSVT-AV1Chaos Group V-RAY7-Zip CompressionUnvanquishedP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

TUXEDO OS Laptops Pulse 14 Gen 3openvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - 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: 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: Face Detection FP16 - CPUtensorflow: CPU - 64 - ResNet-50openvino: Machine Translation EN To DE 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: Road Segmentation ADAS FP16-INT8 - CPUspeedb: Rand Readunvanquished: 1920 x 1080 - Ultraospray-studio: 1 - 4K - 32 - Path Tracer - CPUopenvino: Person Detection FP16 - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUopenvino: Person Detection FP32 - CPUtensorflow: CPU - 1 - ResNet-50rocksdb: Rand Readopenvino: 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: 1e12pytorch: CPU - 32 - ResNet-50pytorch: CPU - 1 - ResNet-50compress-7zip: Decompression Ratinggromacs: MPI CPU - water_GMX50_barespeedb: Read Rand Write Randbuild-linux-kernel: defconfigbuild-ffmpeg: Time To Compileembree: Pathtracer ISPC - Crownbuild-godot: Time To Compilerocksdb: Rand Fill Syncrocksdb: Update Randsvt-av1: Preset 8 - Bosphorus 4Kspeedb: Update Randsvt-av1: Preset 4 - Bosphorus 4Kcompress-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 - Livegimp: resizedarktable: Server Room - CPU-onlydarktable: Masskrug - CPU-onlygimp: unsharp-maskgimp: auto-levelsgimp: rotaterocksdb: Seq FillTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3189.551.9124.713209.154947.7465.3561.74140.700.31387446.62133.430.096721.466.3817.22213.57379.333834437960222.8941591192.8870.3620909181137.2101187415.1550472315.284.5921417199108.8497039748848765311120863563125607506338.74613.2322.10328780.563954134228.333101.6155.5571802.09271087029717916.7822664772.107372359083125286934567101026248146425846.1617.049446.7305491665719395621480.3307.86314.6130.0830.1782.29680.0021.4065.4067.41623.44220.46019.9727566890.744810.2221716.6316796177412118039623396147.55893132919949.383773840260252229847511420706091351822816004428.87821.0736.30466590.8061307428169.75775.3637.5258565.378101643641639719.4843677392.6765505512505247683406358841526314233454953.2539.571754.1737244887658117271730.2305.20218.5037.2437.6853.449106.8413.7954.0455.34315.78914.09513.54310747961165.2111.62142.8317738.9525345.29329.81306.16640.441.405151998.45593.320.415735.9325.6868.05771.201366.921072910930765.0212840619.26225.8364182489404.234669743.7617485043.5613.0860173235303.03353259178689177624125952082361622188915.18132.3552.13762841.3042188099101.46545.37812.4081360.414156629065466836.5345794694.55479418191790911069319562022133510301736294.42014.409095.3511089326109987310794110.1734.22826.5453.5253.5746.961140.0712.6743.2394.54714.65813.10412.8011614208OpenBenchmarking.org

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

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

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

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

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

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen30.31620.63240.94861.26481.581SE +/- 0.00029, N = 3SE +/- 0.01019, N = 15SE +/- 0.00159, N = 30.313870.744811.40515
OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.01150.0230.03450.0460.05750.0130.0290.051
MinAvgMaxTUXEDO Pulse 14 Gen32.448.254.5TUXEDO Aura 15 Gen22.123.528.9Acer Swift SEF16-432.414.621.6OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 1830 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 3810 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1021 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

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

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen30.09350.1870.28050.3740.4675SE +/- 0.00008, N = 3SE +/- 0.00232, N = 3SE +/- 0.00099, N = 30.096720.222170.41573
OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.00340.00680.01020.01360.0170.0040.0080.015
MinAvgMaxTUXEDO Pulse 14 Gen32.251.954.5TUXEDO Aura 15 Gen22.224.028.6Acer Swift SEF16-432.215.022.1OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 6058 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 11495 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 3423 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50TUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3612182430SE +/- 0.05, N = 9SE +/- 0.04, N = 3SE +/- 0.01, N = 36.3816.6325.68
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.24820.49640.74460.99281.2410.4050.5031.103
MinAvgMaxTUXEDO Pulse 14 Gen32.751.054.1TUXEDO Aura 15 Gen22.215.829.3Acer Swift SEF16-432.315.118.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 14344 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 17488 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 6486 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

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

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

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen38K16K24K32K40KSE +/- 187.10, N = 3SE +/- 45.51, N = 3SE +/- 26.74, N = 3383441679610729
MinAvgMaxTUXEDO Pulse 14 Gen32.243.354.0Acer Swift SEF16-432.415.918.7TUXEDO Aura 15 Gen22.214.527.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2540 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 1070 Joules per run.3. TUXEDO Aura 15 Gen2: Approximate power consumption of 795 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen38K16K24K32K40KSE +/- 212.70, N = 3SE +/- 112.21, N = 3SE +/- 27.78, N = 3379601774110930
MinAvgMaxTUXEDO Pulse 14 Gen32.743.554.5Acer Swift SEF16-432.515.620.1TUXEDO Aura 15 Gen22.215.429.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2580 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 1082 Joules per run.3. TUXEDO Aura 15 Gen2: Approximate power consumption of 839 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen39K18K27K36K45KSE +/- 38.94, N = 3SE +/- 157.69, N = 3SE +/- 13.86, N = 3415912118012840
MinAvgMaxTUXEDO Pulse 14 Gen32.145.854.5TUXEDO Aura 15 Gen21.417.830.1Acer Swift SEF16-432.515.320.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3436 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1033 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1221 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

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

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen314M28M42M56M70MSE +/- 93411.12, N = 3SE +/- 95842.43, N = 3SE +/- 296619.43, N = 32090918139623396641824891. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-43500K1000K1500K2000K2500K1041089.711268814.512441739.83
MinAvgMaxTUXEDO Pulse 14 Gen32.650.654.4TUXEDO Aura 15 Gen22.220.129.3Acer Swift SEF16-432.416.225.0OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3254 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1292 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1049 Joules per run.

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: UltraTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen390180270360450SE +/- 0.99, N = 3SE +/- 1.79, N = 3SE +/- 2.52, N = 3137.2147.5404.2
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: UltraTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen336912159.4089.74212.606
MinAvgMaxTUXEDO Pulse 14 Gen32.632.151.7Acer Swift SEF16-432.415.120.2TUXEDO Aura 15 Gen22.314.622.7OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.54CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 876 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 853 Joules per run.3. TUXEDO Aura 15 Gen2: Approximate power consumption of 904 Joules per run.

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 889.64, N = 3SE +/- 2511.09, N = 3SE +/- 906.11, N = 31011874589313346697
MinAvgMaxTUXEDO Pulse 14 Gen32.552.354.5TUXEDO Aura 15 Gen22.320.428.0Acer Swift SEF16-432.515.319.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 18710 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 20942 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 9193 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3110K220K330K440K550KSE +/- 1755.68, N = 3SE +/- 2902.01, N = 6SE +/- 377.86, N = 3504723291994174850
MinAvgMaxTUXEDO Pulse 14 Gen32.750.654.5TUXEDO Aura 15 Gen22.220.527.8Acer Swift SEF16-432.415.520.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 9438 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 10645 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 4716 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen33691215SE +/- 0.00, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 44.599.3813.08
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.15860.31720.47580.63440.7930.2150.3910.705
MinAvgMaxTUXEDO Pulse 14 Gen32.533.554.1TUXEDO Aura 15 Gen22.421.329.2Acer Swift SEF16-432.413.318.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 527 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 710 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 256 Joules per run.

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen313M26M39M52M65MSE +/- 42517.37, N = 3SE +/- 392720.94, N = 5SE +/- 165559.18, N = 32141719937738402601732351. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-43500K1000K1500K2000K2500K912317.591185726.972234528.51
MinAvgMaxTUXEDO Pulse 14 Gen32.650.754.4TUXEDO Aura 15 Gen22.323.530.0Acer Swift SEF16-432.516.920.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3248 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1510 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1084 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

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

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 1362.38, N = 3SE +/- 1518.19, N = 3SE +/- 469.26, N = 3970397602522353259
MinAvgMaxTUXEDO Pulse 14 Gen32.452.354.5TUXEDO Aura 15 Gen22.124.730.0Acer Swift SEF16-432.515.118.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 19073 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 24292 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 9278 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3100K200K300K400K500KSE +/- 227.15, N = 3SE +/- 3108.15, N = 3SE +/- 161.97, N = 3488487298475178689
MinAvgMaxTUXEDO Pulse 14 Gen32.550.754.5TUXEDO Aura 15 Gen22.324.230.0Acer Swift SEF16-432.315.217.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 9634 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 12159 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 4734 Joules per run.

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen34K8K12K16K20KSE +/- 22.33, N = 3SE +/- 48.22, N = 3SE +/- 66.91, N = 365311142017762
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 6.0Mode: CPUTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-43150300450600750393.34408.82718.67
MinAvgMaxTUXEDO Pulse 14 Gen32.445.254.5TUXEDO Aura 15 Gen22.216.020.7Acer Swift SEF16-432.415.920.2OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 6.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3447 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1299 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1229 Joules per run.

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 846.12, N = 3SE +/- 3297.01, N = 3SE +/- 539.10, N = 31120863706091412595
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption MonitorTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-431122334455Min: 2.37 / Avg: 52.51 / Max: 54.5Min: 2.21 / Avg: 25.18 / Max: 29.95Min: 2.45 / Avg: 15.06 / Max: 20.571. TUXEDO Pulse 14 Gen3: Approximate power consumption of 22265 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 28571 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 10816 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3120K240K360K480K600KSE +/- 488.65, N = 3SE +/- 2395.35, N = 3SE +/- 164.36, N = 3563125351822208236
MinAvgMaxTUXEDO Pulse 14 Gen32.451.154.5TUXEDO Aura 15 Gen22.224.830.2Acer Swift SEF16-432.515.120.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 11234 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 14327 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 5509 Joules per run.

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 1024 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen33M6M9M12M15MSE +/- 48344.69, N = 3SE +/- 83576.94, N = 9SE +/- 152182.30, N = 66075063816004416221889-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mbmi2-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
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-43120K240K360K480K600K253495.48310274.72540841.67
MinAvgMaxTUXEDO Pulse 14 Gen32.552.354.9TUXEDO Aura 15 Gen22.224.030.0Acer Swift SEF16-432.515.123.1OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 6509 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 5760 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 3686 Joules per run.

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12TUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3918273645SE +/- 0.04, N = 3SE +/- 0.31, N = 3SE +/- 0.01, N = 438.7528.8815.181. (CXX) g++ options: -O3
MinAvgMaxTUXEDO Pulse 14 Gen32.743.054.5TUXEDO Aura 15 Gen22.317.927.9Acer Swift SEF16-432.415.024.7OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 829 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 768 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 499 Joules per run.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50TUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3816243240SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.32, N = 613.2321.0732.35MIN: 11.04 / MAX: 13.61MIN: 14.29 / MAX: 23.61MIN: 22.25 / MAX: 33.75
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.32090.64180.96271.28361.60450.5110.6731.426
MinAvgMaxTUXEDO Pulse 14 Gen31.848.154.2TUXEDO Aura 15 Gen22.225.929.4Acer Swift SEF16-432.314.820.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3070 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 3630 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1334 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen31224364860SE +/- 0.23, N = 3SE +/- 0.40, N = 3SE +/- 0.17, N = 322.1036.3052.13MIN: 19.97 / MAX: 22.93MIN: 27.93 / MAX: 41.18MIN: 43.98 / MAX: 53.65
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50TUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.55671.11341.67012.22682.78350.9121.2222.474
MinAvgMaxTUXEDO Pulse 14 Gen32.642.654.1TUXEDO Aura 15 Gen22.224.229.6Acer Swift SEF16-432.414.719.7OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 1208 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1405 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 558 Joules per run.

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen316K32K48K64K80KSE +/- 81.72, N = 3SE +/- 460.07, N = 3SE +/- 108.07, N = 33287846659762841. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4370014002100280035001734.292405.093102.42
MinAvgMaxTUXEDO Pulse 14 Gen32.644.054.5Acer Swift SEF16-432.415.020.4TUXEDO Aura 15 Gen22.313.720.1OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 1188 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 592 Joules per run.3. TUXEDO Aura 15 Gen2: Approximate power consumption of 579 Joules per run.

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen30.29340.58680.88021.17361.467SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 30.5630.8061.3041. (CXX) g++ options: -O3 -lm
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.01220.02440.03660.04880.0610.0240.0260.054
MinAvgMaxTUXEDO Pulse 14 Gen32.250.754.0TUXEDO Aura 15 Gen22.223.130.2Acer Swift SEF16-432.314.921.4OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 7149 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 7391 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 3332 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3500K1000K1500K2000K2500KSE +/- 329.94, N = 3SE +/- 11467.11, N = 8SE +/- 5248.64, N = 3954134130742821880991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4320K40K60K80K100K44076.6244135.4688956.69
MinAvgMaxTUXEDO Pulse 14 Gen32.449.654.5TUXEDO Aura 15 Gen22.321.627.5Acer Swift SEF16-432.414.722.6OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3177 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1405 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 944 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen350100150200250SE +/- 0.81, N = 3SE +/- 0.77, N = 3SE +/- 0.54, N = 3228.33169.76101.47
MinAvgMaxTUXEDO Pulse 14 Gen32.645.954.1TUXEDO Aura 15 Gen22.316.823.1Acer Swift SEF16-432.414.921.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 5158 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 4051 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 2702 Joules per run.

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen320406080100SE +/- 0.13, N = 3SE +/- 0.92, N = 4SE +/- 0.05, N = 3101.6275.3645.38
MinAvgMaxTUXEDO Pulse 14 Gen32.245.554.1TUXEDO Aura 15 Gen21.317.627.2Acer Swift SEF16-432.715.121.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2364 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1927 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1235 Joules per run.

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen33691215SE +/- 0.0439, N = 3SE +/- 0.0469, N = 3SE +/- 0.0165, N = 35.55717.525812.4081MIN: 5.43 / MAX: 5.73MIN: 7.36 / MAX: 7.92MIN: 12.21 / MAX: 12.77
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.11390.22780.34170.45560.56950.2210.2460.506
MinAvgMaxTUXEDO Pulse 14 Gen32.650.554.5TUXEDO Aura 15 Gen22.325.129.9Acer Swift SEF16-432.314.921.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3268 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 3465 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1543 Joules per run.

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen32004006008001000SE +/- 9.26, N = 3SE +/- 0.96, N = 3SE +/- 0.14, N = 3802.09565.38360.41
MinAvgMaxTUXEDO Pulse 14 Gen32.150.154.6TUXEDO Aura 15 Gen22.216.325.2Acer Swift SEF16-432.415.119.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 18316 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 13161 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 8594 Joules per run.

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random Fill SyncTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3300K600K900K1200K1500KSE +/- 2073.98, N = 3SE +/- 6470.56, N = 15SE +/- 3815.82, N = 3710870101643615662901. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random Fill SyncTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-4314K28K42K56K70K28784.8431816.2063518.57
MinAvgMaxTUXEDO Pulse 14 Gen32.549.253.3TUXEDO Aura 15 Gen22.324.726.9Acer Swift SEF16-432.616.023.8OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3167 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1581 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1024 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update RandomTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3140K280K420K560K700KSE +/- 136.39, N = 3SE +/- 3561.84, N = 3SE +/- 2189.55, N = 32971794163976546681. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Update RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-436K12K18K24K30K11623.8213027.1427917.42
MinAvgMaxTUXEDO Pulse 14 Gen32.050.354.5TUXEDO Aura 15 Gen22.325.630.0Acer Swift SEF16-432.314.919.7OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3216 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1645 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 955 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3816243240SE +/- 0.02, N = 3SE +/- 0.15, N = 10SE +/- 0.04, N = 316.7819.4836.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.31520.63040.94561.26081.5760.7650.8791.401
MinAvgMaxTUXEDO Pulse 14 Gen31.341.554.1TUXEDO Aura 15 Gen22.221.929.8Acer Swift SEF16-432.213.920.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 900 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 914 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 503 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3120K240K360K480K600KSE +/- 38.08, N = 3SE +/- 1157.03, N = 3SE +/- 1074.17, N = 32664773677395794691. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-435K10K15K20K25K11975.6312194.5324519.89
MinAvgMaxTUXEDO Pulse 14 Gen32.348.452.9TUXEDO Aura 15 Gen22.321.925.9Acer Swift SEF16-432.515.021.9OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3097 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1406 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 970 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen31.02472.04943.07414.09885.1235SE +/- 0.001, N = 3SE +/- 0.027, N = 6SE +/- 0.011, N = 32.1072.6764.5541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.03920.07840.11760.15680.1960.0910.1010.174
MinAvgMaxTUXEDO Pulse 14 Gen32.445.054.2TUXEDO Aura 15 Gen22.223.129.9Acer Swift SEF16-432.515.421.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 1832 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1893 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1007 Joules per run.

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen320K40K60K80K100KSE +/- 16.19, N = 3SE +/- 155.89, N = 3SE +/- 205.01, N = 33723555055794181. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3400K800K1200K1600K2000KSE +/- 9816.70, N = 3SE +/- 4917.13, N = 3SE +/- 2463.86, N = 3908312125052419179091. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read Random Write RandomTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-4320K40K60K80K100K35680.3338030.5285401.38
MinAvgMaxTUXEDO Pulse 14 Gen32.650.454.5TUXEDO Aura 15 Gen22.125.529.9Acer Swift SEF16-432.314.618.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3228 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1638 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 942 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential FillTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 823.46, N = 3SE +/- 3703.94, N = 3SE +/- 2484.37, N = 452869376834011069311. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Sequential FillTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4311K22K33K44K55K28602.2838488.2951106.56
MinAvgMaxTUXEDO Pulse 14 Gen32.338.750.6Acer Swift SEF16-432.415.022.7TUXEDO Aura 15 Gen22.213.721.3OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor14284256701. TUXEDO Pulse 14 Gen3: Approximate power consumption of 726 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 381 Joules per run.3. TUXEDO Aura 15 Gen2: Approximate power consumption of 375 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random FillTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 2305.47, N = 3SE +/- 4359.50, N = 15SE +/- 1400.61, N = 34567106358849562021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random FillTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-439K18K27K36K45K20595.0627816.2642088.06
MinAvgMaxTUXEDO Pulse 14 Gen32.446.450.9TUXEDO Aura 15 Gen22.216.422.1Acer Swift SEF16-432.515.121.8OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor14284256701. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2987 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1062 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 975 Joules per run.

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3500K1000K1500K2000K2500KSE +/- 2151.70, N = 3SE +/- 13242.60, N = 15SE +/- 7523.48, N = 31026248152631421335101. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read While WritingTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-4320K40K60K80K100K40582.5342174.72101477.96
MinAvgMaxTUXEDO Pulse 14 Gen32.350.654.4TUXEDO Aura 15 Gen22.225.330.0Acer Swift SEF16-432.515.022.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3254 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1627 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 965 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3600K1200K1800K2400K3000KSE +/- 12199.95, N = 3SE +/- 11645.26, N = 3SE +/- 37898.55, N = 31464258233454930173621. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4330K60K90K120K150K59633.6168145.21143420.81
MinAvgMaxTUXEDO Pulse 14 Gen32.450.654.4TUXEDO Aura 15 Gen22.221.529.9Acer Swift SEF16-432.316.323.7OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3255 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1390 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1047 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen320406080100SE +/- 0.47, N = 4SE +/- 0.53, N = 6SE +/- 0.82, N = 746.1653.2594.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.96031.92062.88093.84124.80152.3612.9524.268
MinAvgMaxTUXEDO Pulse 14 Gen32.432.054.4TUXEDO Aura 15 Gen22.119.630.1Acer Swift SEF16-432.312.520.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 361 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 362 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 204 Joules per run.

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen348121620SE +/- 0.0190, N = 3SE +/- 0.0557, N = 3SE +/- 0.0133, N = 37.04949.571714.4090MIN: 6.97 / MAX: 7.16MIN: 9.4 / MAX: 10.18MIN: 14.23 / MAX: 14.72
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.14720.29440.44160.58880.7360.2720.2880.654
MinAvgMaxTUXEDO Pulse 14 Gen32.150.054.5TUXEDO Aura 15 Gen22.325.830.0Acer Swift SEF16-432.314.620.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2819 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 2859 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1220 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen320406080100SE +/- 0.10, N = 4SE +/- 0.46, N = 15SE +/- 0.21, N = 646.7354.1795.351. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-430.98691.97382.96073.94764.93452.3992.9644.386
MinAvgMaxTUXEDO Pulse 14 Gen32.132.254.4TUXEDO Aura 15 Gen22.119.530.1Acer Swift SEF16-432.312.420.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 354 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 356 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 199 Joules per run.

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: OverwriteTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 4848.84, N = 3SE +/- 2714.77, N = 3SE +/- 2468.05, N = 354916672448810893261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: OverwriteTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4310K20K30K40K50K21963.3224320.0146454.81
MinAvgMaxTUXEDO Pulse 14 Gen32.549.653.8TUXEDO Aura 15 Gen22.322.629.0Acer Swift SEF16-432.415.623.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3191 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1453 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1003 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random FillTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 378.21, N = 3SE +/- 9970.95, N = 3SE +/- 6305.47, N = 357193976581110998731. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random FillTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4310K20K30K40K50K22116.6424121.0044978.89
MinAvgMaxTUXEDO Pulse 14 Gen32.349.754.0TUXEDO Aura 15 Gen22.223.727.2Acer Swift SEF16-432.617.025.7OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 3183 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1525 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1095 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill SyncTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3200K400K600K800K1000KSE +/- 1186.35, N = 3SE +/- 7097.28, N = 3SE +/- 2736.14, N = 356214872717310794111. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random Fill SyncTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-4310K20K30K40K50K23442.4331385.6747346.30
MinAvgMaxTUXEDO Pulse 14 Gen32.646.050.5TUXEDO Aura 15 Gen22.217.921.9Acer Swift SEF16-432.315.420.9OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor14284256701. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2962 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1158 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 988 Joules per run.

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen30.07430.14860.22290.29720.3715SE +/- 0.001, N = 12SE +/- 0.000, N = 13SE +/- 0.001, N = 150.3300.2300.173
MinAvgMaxTUXEDO Pulse 14 Gen32.06.120.4Acer Swift SEF16-432.03.810.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor6121824301. TUXEDO Pulse 14 Gen3: Approximate power consumption of 31 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 20 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3246810SE +/- 0.028, N = 5SE +/- 0.016, N = 7SE +/- 0.006, N = 77.8635.2024.228
MinAvgMaxTUXEDO Pulse 14 Gen32.126.154.0Acer Swift SEF16-431.916.430.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 238 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 166 Joules per run.

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3612182430SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 314.6118.5026.541. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-430.27380.54760.82141.09521.3690.7240.8041.217
MinAvgMaxTUXEDO Pulse 14 Gen32.536.754.1TUXEDO Aura 15 Gen22.218.229.9Acer Swift SEF16-432.415.219.5OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 5561 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 4695 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 3030 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen31224364860SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 330.0837.2453.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-430.55911.11821.67732.23642.79551.2571.4462.485
MinAvgMaxTUXEDO Pulse 14 Gen32.442.652.6TUXEDO Aura 15 Gen22.120.830.1Acer Swift SEF16-432.415.020.9OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 6900 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 5858 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 3401 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen31224364860SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.00, N = 330.1737.6853.571. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-430.561.121.682.242.81.2561.4312.489
MinAvgMaxTUXEDO Pulse 14 Gen32.442.752.9TUXEDO Aura 15 Gen22.121.130.0Acer Swift SEF16-432.515.120.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 6911 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 5917 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 3401 Joules per run.

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen320406080100SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 382.3053.4546.961. RawTherapee, version 5.8, command line.
MinAvgMaxTUXEDO Pulse 14 Gen32.334.846.8Acer Swift SEF16-432.222.527.7TUXEDO Aura 15 Gen22.119.128.1OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor14284256701. TUXEDO Pulse 14 Gen3: Approximate power consumption of 1808 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 1321 Joules per run.3. TUXEDO Aura 15 Gen2: Approximate power consumption of 1677 Joules per run.

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3306090120150SE +/- 0.53, N = 3SE +/- 0.45, N = 3SE +/- 0.32, N = 380.00106.84140.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-432468103.8625.2477.091
MinAvgMaxTUXEDO Pulse 14 Gen32.236.352.4TUXEDO Aura 15 Gen22.015.225.4Acer Swift SEF16-432.415.120.7OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 2055 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 1418 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 1065 Joules per run.

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resizeTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3510152025SE +/- 0.30, N = 3SE +/- 0.09, N = 4SE +/- 0.02, N = 421.4113.8012.67
MinAvgMaxTUXEDO Pulse 14 Gen32.221.839.1Acer Swift SEF16-432.117.127.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor11223344551. TUXEDO Pulse 14 Gen3: Approximate power consumption of 386 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 330 Joules per run.

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen31.21642.43283.64924.86566.082SE +/- 0.003, N = 6SE +/- 0.026, N = 15SE +/- 0.013, N = 85.4064.0453.239
MinAvgMaxTUXEDO Pulse 14 Gen32.221.152.2Acer Swift SEF16-432.214.629.8OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 182 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 134 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-onlyTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3246810SE +/- 0.008, N = 5SE +/- 0.015, N = 7SE +/- 0.008, N = 77.4165.3434.547
MinAvgMaxTUXEDO Pulse 14 Gen32.424.451.5Acer Swift SEF16-432.116.229.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.8.1CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 234 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 166 Joules per run.

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-maskTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 423.4415.7914.66
MinAvgMaxTUXEDO Pulse 14 Gen32.318.525.1Acer Swift SEF16-432.015.921.8OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor8162432401. TUXEDO Pulse 14 Gen3: Approximate power consumption of 370 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 339 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levelsTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 420.4614.1013.10
MinAvgMaxTUXEDO Pulse 14 Gen32.216.823.5Acer Swift SEF16-432.214.920.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor8162432401. TUXEDO Pulse 14 Gen3: Approximate power consumption of 307 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 294 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotateTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.13, N = 419.9713.5412.80
MinAvgMaxTUXEDO Pulse 14 Gen32.414.419.2Acer Swift SEF16-432.214.219.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.30CPU Power Consumption Monitor6121824301. TUXEDO Pulse 14 Gen3: Approximate power consumption of 263 Joules per run.2. Acer Swift SEF16-43: Approximate power consumption of 271 Joules per run.

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringTUXEDO Pulse 14 Gen3TUXEDO Aura 15 Gen2Acer Swift SEF16-431122334455Min: 1.27 / Avg: 45.54 / Max: 54.93Min: 1.02 / Avg: 19.71 / Max: 30.26Min: 1.81 / Avg: 14.92 / Max: 30.03

RocksDB

MinAvgMaxTUXEDO Pulse 14 Gen32.537.653.3TUXEDO Aura 15 Gen21.419.326.4Acer Swift SEF16-432.414.925.8OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor1530456075

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Sequential FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-4316K32K48K64K80K39283.8342961.4872369.80

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Sequential FillTUXEDO Aura 15 Gen2Acer Swift SEF16-43TUXEDO Pulse 14 Gen3300K600K900K1200K1500KSE +/- 3422.14, N = 4SE +/- 17259.12, N = 15SE +/- 8572.96, N = 5756689107479616142081. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Sequential FillTUXEDO Aura 15 Gen2TUXEDO Pulse 14 Gen3Acer Swift SEF16-4316K32K48K64K80K39283.8342961.4872369.80
MinAvgMaxTUXEDO Pulse 14 Gen32.537.653.3TUXEDO Aura 15 Gen21.419.326.4Acer Swift SEF16-432.414.925.8OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor15304560751. TUXEDO Pulse 14 Gen3: Approximate power consumption of 534 Joules per run.2. TUXEDO Aura 15 Gen2: Approximate power consumption of 390 Joules per run.3. Acer Swift SEF16-43: Approximate power consumption of 281 Joules per run.

82 Results Shown

OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
  Road Segmentation ADAS FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Handwritten English Recognition FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
NAMD
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
NAMD
OpenVINO
TensorFlow
OpenVINO:
  Machine Translation EN To DE FP16 - CPU
  Person Re-Identification Retail FP16 - CPU
  Face Detection Retail FP16 - CPU
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  2 - 4K - 1 - Path Tracer - CPU
OpenVINO
OSPRay Studio
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
Speedb
Unvanquished
OSPRay Studio
OpenVINO
OSPRay Studio
OpenVINO
TensorFlow
RocksDB
OpenVINO
OSPRay Studio:
  2 - 4K - 32 - Path Tracer - CPU
  2 - 4K - 16 - Path Tracer - CPU
Chaos Group V-RAY
OSPRay Studio:
  3 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
Stockfish
Primesieve
PyTorch:
  CPU - 32 - ResNet-50
  CPU - 1 - ResNet-50
7-Zip Compression
GROMACS
Speedb
Timed Linux Kernel Compilation
Timed FFmpeg Compilation
Embree
Timed Godot Game Engine Compilation
RocksDB:
  Rand Fill Sync
  Update Rand
SVT-AV1
Speedb
SVT-AV1
7-Zip Compression
RocksDB
Speedb:
  Seq Fill
  Rand Fill
RocksDB
Speedb
SVT-AV1
Embree
SVT-AV1
RocksDB:
  Overwrite
  Rand Fill
Speedb
Darktable:
  Server Rack - CPU-only
  Boat - CPU-only
FFmpeg:
  libx265 - Upload
  libx265 - Video On Demand
  libx265 - Platform
RawTherapee
FFmpeg
GIMP
Darktable:
  Server Room - CPU-only
  Masskrug - CPU-only
GIMP:
  unsharp-mask
  auto-levels
  rotate
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  Seq Fill
RocksDB

TUXEDO Aura 15 Gen2

Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8GB DDR4-3200MT/s Samsung M471A1K43DB1-CWE, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/1333MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200

OS: Tuxedo 22.04, Kernel: 6.5.0-10027-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0x8608103
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016
Python Notes: Python 3.10.12
Security Notes: 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

Testing initiated at 25 March 2024 16:22 by user phoronix.

Acer Swift SEF16-43

Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Tuxedo 22.04, Kernel: 6.5.0-10022-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.267, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3200x2000

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704101
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.10.12
Security Notes: 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 no microcode + 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

Testing initiated at 1 April 2024 13:29 by user phoronix.

TUXEDO Pulse 14 Gen3

Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K

OS: Tuxedo 22.04, Kernel: 6.5.0-10027-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2880x1800

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.10.12
Security Notes: 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

Testing initiated at 1 April 2024 03:00 by user phoronix.