Ryzen 7 7840U AMD Zen 4 AVX-512 Analysis

Benchmarks by Michael Larabel for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307119-NE-2307108NE50
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Performance Per
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Date
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  Test
  Duration
Core i7 1065G7: AVX512 Off
July 11 2023
  10 Hours, 47 Minutes
Core i7 1065G7: AVX512 On
July 10 2023
  12 Hours, 43 Minutes
Core i7 1165G7: AVX512 Off
July 09 2023
  13 Hours, 41 Minutes
Core i7 1165G7: AVX512 On
July 08 2023
  13 Hours, 7 Minutes
Ryzen 7 7840U: AVX512 Off
July 08 2023
  8 Hours, 48 Minutes
Ryzen 7 7840U: AVX512 On
July 08 2023
  7 Hours, 18 Minutes
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  11 Hours, 4 Minutes

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ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionRyzen 7 7840UCore i7 1165G7Core i7 1065G7 AVX512 Off AVX512 On AVX512 On AVX512 Off AVX512 On AVX512 OffAMD Ryzen 7 7840U @ 3.30GHz (8 Cores / 16 Threads)PHX Ray_PEU (V1.04 BIOS)AMD Device 14e816GB1024GB Micron_3400_MTFDKBA1T0TFHAMD Phoenix1 512MB (2700/400MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7922 802.11ax PCIUbuntu 23.046.2.0-24-generic (x86_64)KDE Plasma 5.27.4X Server 1.21.1.74.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43200x2000Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (3.15.0 BIOS)Intel Tiger Lake-LPKioxia KBG40ZNS256G NVMe 256GBIntel Xe TGL GT2 15GB (1300MHz)Realtek ALC289Intel Wi-Fi 6 AX201GNOME Shell 44.0X Server + Wayland4.6 Mesa 23.0.21920x1200Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Ice Lake-LP DRAMToshiba KBG40ZPZ512G NVMe 512GBIntel Iris Plus ICL GT2 16GB (1100MHz)Intel Ice Lake-LP PCH CNVi WiFi4.6 Mesa 23.0.4-0ubuntu1~23.04.1OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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-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- Ryzen 7 7840U: AVX512 Off: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa704101- Ryzen 7 7840U: AVX512 On: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa704101- Core i7 1165G7: AVX512 On: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.5.2- Core i7 1165G7: AVX512 Off: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.5.2- Core i7 1065G7: AVX512 On: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xb8 - Thermald 2.5.2- Core i7 1065G7: AVX512 Off: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xb8 - Thermald 2.5.2Python Details- Python 3.11.2Security Details- Ryzen 7 7840U: AVX512 Off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 7 7840U: AVX512 On: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Core i7 1165G7: AVX512 On: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i7 1165G7: AVX512 Off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i7 1065G7: AVX512 On: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected - Core i7 1065G7: AVX512 Off: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

ospray-studio: 3 - 4K - 32 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracertensorflow: CPU - 64 - ResNet-50openvkl: vklBenchmark ISPCtensorflow: CPU - 64 - GoogLeNetlibxsmm: 64ospray-studio: 3 - 1080p - 32 - Path Traceronednn: Recurrent Neural Network Training - u8s8f32 - CPUospray: particle_volume/pathtracer/real_timeospray-studio: 1 - 1080p - 32 - Path Traceropenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUtensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 64 - AlexNetopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Traceropenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUtensorflow: CPU - 16 - GoogLeNetembree: Pathtracer ISPC - Asian Dragonopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUembree: Pathtracer ISPC - Crownospray: gravity_spheres_volume/dim_512/scivis/real_timeminibude: OpenMP - BM1minibude: OpenMP - BM1embree: Pathtracer ISPC - Asian Dragon Objospray: gravity_spheres_volume/dim_512/ao/real_timeopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timetensorflow: CPU - 16 - AlexNetospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 1 - Path Traceropenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUcpuminer-opt: Blake-2 Scpuminer-opt: x25xcpuminer-opt: Myriad-Groestlcpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditsopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUcpuminer-opt: scryptcpuminer-opt: Quad SHA-256, Pyriteonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPURyzen 7 7840UCore i7 1165G7Core i7 1065G7 AVX512 Off AVX512 On AVX512 On AVX512 Off AVX512 On AVX512 Off7395755979238.549224.87155.31878535003.2393.51821477642570.311.564390.070.918.8464.7923.20344.82445657071.654781.191252.113.184387.550.9116.84237.4525.788.09171.495336.562748.206.85561.1372411.628290.6977.23291.1948723.48170.201.9576446.21224791808830.53131.13315925348.69139102009.386390722030233.1717.1318.83212.15128.05585332.869451.680583.3699862876754890316.7411448.05168.01612584354.17101.8081385531143.203.502242.451.7816.44113.5812.49639.05419250600.7710275.45578.356.912252.821.7711.10359.9751.199.95841.276240.042371.627.91861.9781414.884372.1008.55951.9887012.05331.312.4695677.65190641656721.53185.72531477374.95261602752.277830043903109.6836.4611.88336.13166.57876271.527070.9444321.61633107620287044710.518229.96137.12689827357.3388.34042195873968.311.016290.160.639.7464.5610.65375.46690685071.422780.431021.783.916318.670.6317.82224.2928.626.29751.263141.623754.664.94481.397246.468161.7055.51621.4268239.77100.601.6762152.97321892668049.1081.43282211175.05126091822.773416124502302.2113.2226.70149.67132.79526032.481261.895782.5236811666129678546.776317.97139.02966759315.5076.03622436823943.841.016142.870.656.8744.9122.26179.81770091011.592495.372198.131.816247.580.6433.57119.1618.385.63031.412804.434765.104.36530.8333345.247131.1875.01780.87808042.4094.361.2579636.87357452947042.6393.81150523156.605364.371057.36229718840.50331.5812.0526.99148.1362.57215654.879153.593425.74030157184813170477.515320.7792.039971611513.956.01393353475677.940.709526.090.427.1846.6515.24262.3810304123422.011972.411478.992.709645.110.4126.98148.1819.924.13481.862126.635863.573.20560.8283654.546113.6473.61060.84888858.9767.831.0343638.47488204080769.8557.25192807118.908664.821277.892446216205438.379.1239.19102.0375.83334034.120713.211083.15547161104613703174.674111.9786.441223112996.549.10503552406046.150.669570.620.424.7932.1331.94125.2211072128432.251756.763229.191.239721.500.4149.1581.3812.273.91242.091896.016705.372.91810.4889893.53088.2493.42150.51313563.8462.660.75521127.32504864216566.3060.3399990102.373733.13717.47155406023.36510.127.8339.69100.7343.01150278.533145.797049.11295OpenBenchmarking.org

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On300K600K900K1200K1500KSE +/- 6114.98, N = 3SE +/- 4373.49, N = 3SE +/- 1190.01, N = 3SE +/- 1916.25, N = 3SE +/- 4397.04, N = 3SE +/- 17616.28, N = 473957562876710762021166612157184816110461. (CXX) g++ options: -O3 -lm -ldl

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On300K600K900K1200K1500KSE +/- 5872.37, N = 3SE +/- 3927.76, N = 3SE +/- 954.05, N = 3SE +/- 1928.99, N = 3SE +/- 1706.45, N = 3SE +/- 10697.42, N = 3597923548903870447967854131704713703171. (CXX) g++ options: -O3 -lm -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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50AVX512 OffAVX512 On48121620SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 38.5416.7410.516.777.514.67

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On306090120150SE +/- 1.30, N = 9SE +/- 1.61, N = 9SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 39211482635341

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 OffAVX512 On1122334455SE +/- 0.08, N = 3SE +/- 0.53, N = 4SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 324.8748.0529.9617.9720.7711.97

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64AVX512 OffAVX512 On4080120160200SE +/- 1.56, N = 3SE +/- 1.19, N = 3SE +/- 1.64, N = 14SE +/- 1.72, N = 13SE +/- 3.03, N = 12SE +/- 2.79, N = 12155.3168.0137.1139.092.086.41. (CXX) g++ options: -dynamic -Bstatic -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On90K180K270K360K450KSE +/- 2250.38, N = 3SE +/- 466.38, N = 3SE +/- 322.06, N = 3SE +/- 2472.90, N = 3SE +/- 557.19, N = 3SE +/- 449.20, N = 31878531612582689822966753997164122311. (CXX) g++ options: -O3 -lm -ldl

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On3K6K9K12K15KSE +/- 91.64, N = 15SE +/- 84.98, N = 12SE +/- 64.19, N = 15SE +/- 71.00, N = 3SE +/- 37.92, N = 3SE +/- 20.04, N = 35003.234354.177357.339315.5011513.9012996.501. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific 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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeAVX512 OffAVX512 On20406080100SE +/- 0.14, N = 3SE +/- 0.25, N = 3SE +/- 0.88, N = 3SE +/- 1.06, N = 12SE +/- 0.13, N = 3SE +/- 0.43, N = 393.52101.8188.3476.0456.0149.11

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On80K160K240K320K400KSE +/- 922.16, N = 3SE +/- 1719.79, N = 4SE +/- 815.80, N = 3SE +/- 192.36, N = 3SE +/- 1847.71, N = 3SE +/- 3658.24, N = 31477641385532195872436823353473552401. (CXX) g++ options: -O3 -lm -ldl

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 44.91, N = 15SE +/- 15.69, N = 12SE +/- 38.46, N = 3SE +/- 28.27, N = 14SE +/- 53.93, N = 15SE +/- 41.88, N = 92570.311143.203968.313943.845677.946046.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On0.78751.5752.36253.153.9375SE +/- 0.03, N = 15SE +/- 0.05, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 14SE +/- 0.01, N = 15SE +/- 0.01, N = 91.563.501.011.010.700.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On2K4K6K8K10KSE +/- 43.35, N = 15SE +/- 36.55, N = 12SE +/- 58.12, N = 12SE +/- 101.01, N = 3SE +/- 65.76, N = 15SE +/- 88.24, N = 44390.072242.456290.166142.879526.099570.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On0.40050.8011.20151.6022.0025SE +/- 0.01, N = 15SE +/- 0.03, N = 12SE +/- 0.01, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 15SE +/- 0.01, N = 40.911.780.630.650.420.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 OffAVX512 On48121620SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 38.8416.449.746.877.184.79

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 OffAVX512 On306090120150SE +/- 0.71, N = 5SE +/- 0.62, N = 3SE +/- 0.75, N = 15SE +/- 0.28, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 364.79113.5864.5644.9146.6532.13

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On714212835SE +/- 0.18, N = 15SE +/- 0.08, N = 3SE +/- 0.10, N = 15SE +/- 0.23, N = 15SE +/- 0.14, N = 15SE +/- 0.44, N = 323.2012.4910.6522.2615.2431.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On140280420560700SE +/- 2.55, N = 15SE +/- 3.92, N = 3SE +/- 3.72, N = 15SE +/- 1.96, N = 15SE +/- 2.42, N = 15SE +/- 1.74, N = 3344.82639.05375.46179.81262.38125.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On2K4K6K8K10KSE +/- 46.49, N = 3SE +/- 36.74, N = 12SE +/- 4.48, N = 3SE +/- 2.73, N = 3SE +/- 2.60, N = 3SE +/- 136.38, N = 3445641926906770010304110721. (CXX) g++ options: -O3 -lm -ldl

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On3K6K9K12K15KSE +/- 29.78, N = 3SE +/- 57.01, N = 3SE +/- 20.19, N = 3SE +/- 110.89, N = 12SE +/- 18.89, N = 3SE +/- 66.39, N = 3570750608507910112342128431. (CXX) g++ options: -O3 -lm -ldl

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On0.50631.01261.51892.02522.5315SE +/- 0.02, N = 5SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.02, N = 41.650.771.421.592.012.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On2K4K6K8K10KSE +/- 49.53, N = 5SE +/- 23.21, N = 3SE +/- 24.76, N = 15SE +/- 22.56, N = 15SE +/- 14.06, N = 15SE +/- 18.92, N = 44781.1910275.452780.432495.371972.411756.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On7001400210028003500SE +/- 9.28, N = 3SE +/- 0.78, N = 3SE +/- 10.52, N = 15SE +/- 17.25, N = 15SE +/- 20.45, N = 13SE +/- 39.71, N = 31252.11578.351021.782198.131478.993229.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 15SE +/- 0.01, N = 15SE +/- 0.04, N = 13SE +/- 0.01, N = 33.186.913.911.812.701.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On2K4K6K8K10KSE +/- 16.00, N = 3SE +/- 21.58, N = 3SE +/- 47.81, N = 12SE +/- 45.70, N = 11SE +/- 79.32, N = 12SE +/- 114.44, N = 34387.552252.826318.676247.589645.119721.501. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On0.39830.79661.19491.59321.9915SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 12SE +/- 0.00, N = 11SE +/- 0.00, N = 12SE +/- 0.01, N = 30.911.770.630.640.410.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On1122334455SE +/- 0.19, N = 3SE +/- 0.09, N = 15SE +/- 0.10, N = 14SE +/- 0.23, N = 14SE +/- 0.28, N = 5SE +/- 0.54, N = 416.8411.1017.8233.5726.9849.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On80160240320400SE +/- 2.68, N = 3SE +/- 3.22, N = 15SE +/- 1.42, N = 14SE +/- 0.88, N = 14SE +/- 1.56, N = 5SE +/- 0.91, N = 4237.45359.97224.29119.16148.1881.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 OffAVX512 On1224364860SE +/- 0.19, N = 11SE +/- 0.32, N = 3SE +/- 0.52, N = 15SE +/- 0.26, N = 3SE +/- 0.17, N = 8SE +/- 0.10, N = 325.7851.1928.6218.3819.9212.27

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On3691215SE +/- 0.0474, N = 3SE +/- 0.0930, N = 3SE +/- 0.0513, N = 15SE +/- 0.0607, N = 3SE +/- 0.0069, N = 3SE +/- 0.0463, N = 38.09179.95846.29755.63034.13483.9124

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On0.47030.94061.41091.88122.3515SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.02, N = 15SE +/- 0.01, N = 15SE +/- 0.02, N = 41.491.271.261.411.862.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 61.26, N = 3SE +/- 89.90, N = 3SE +/- 25.48, N = 15SE +/- 33.60, N = 15SE +/- 16.58, N = 15SE +/- 20.61, N = 45336.566240.043141.622804.432126.631896.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On14002800420056007000SE +/- 10.85, N = 3SE +/- 20.46, N = 3SE +/- 45.38, N = 15SE +/- 39.98, N = 8SE +/- 35.60, N = 3SE +/- 4.80, N = 32748.202371.623754.664765.105863.576705.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On246810SE +/- 0.0389, N = 3SE +/- 0.0891, N = 3SE +/- 0.0702, N = 3SE +/- 0.0485, N = 5SE +/- 0.0015, N = 3SE +/- 0.0178, N = 36.85567.91864.94484.36533.20562.9181

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific 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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On0.44510.89021.33531.78042.2255SE +/- 0.003982, N = 3SE +/- 0.013755, N = 3SE +/- 0.020565, N = 15SE +/- 0.012585, N = 15SE +/- 0.002072, N = 3SE +/- 0.000911, N = 31.1372401.9781401.3972400.8333340.8283650.488989

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On48121620SE +/- 0.137, N = 3SE +/- 0.149, N = 3SE +/- 0.078, N = 4SE +/- 0.072, N = 3SE +/- 0.027, N = 3SE +/- 0.014, N = 311.62814.8846.4685.2474.5463.5301. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On80160240320400SE +/- 3.42, N = 3SE +/- 3.72, N = 3SE +/- 1.94, N = 4SE +/- 1.80, N = 3SE +/- 0.67, N = 3SE +/- 0.34, N = 3290.70372.10161.71131.19113.6588.251. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On246810SE +/- 0.0412, N = 3SE +/- 0.1142, N = 3SE +/- 0.0350, N = 3SE +/- 0.0334, N = 3SE +/- 0.0178, N = 3SE +/- 0.0383, N = 37.23298.55955.51625.01783.61063.4215

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific 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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On0.44750.8951.34251.792.2375SE +/- 0.001291, N = 3SE +/- 0.013221, N = 3SE +/- 0.021513, N = 15SE +/- 0.012598, N = 15SE +/- 0.001976, N = 3SE +/- 0.001192, N = 31.1948701.9887001.4268200.8780800.8488880.513135

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On1428425670SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.33, N = 13SE +/- 0.34, N = 13SE +/- 0.60, N = 5SE +/- 0.75, N = 423.4812.0539.7742.4058.9763.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On70140210280350SE +/- 1.57, N = 3SE +/- 3.20, N = 3SE +/- 0.90, N = 13SE +/- 0.83, N = 13SE +/- 0.72, N = 5SE +/- 0.76, N = 4170.20331.31100.6094.3667.8362.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific 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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On0.55571.11141.66712.22282.7785SE +/- 0.006749, N = 3SE +/- 0.015506, N = 3SE +/- 0.023168, N = 15SE +/- 0.018195, N = 15SE +/- 0.005484, N = 3SE +/- 0.001991, N = 31.9576402.4695601.6762101.2579601.0343600.755211

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetAVX512 OffAVX512 On20406080100SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 1.39, N = 15SE +/- 0.57, N = 15SE +/- 0.38, N = 15SE +/- 0.24, N = 346.2177.6552.9736.8738.4727.32

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On11K22K33K44K55KSE +/- 44.38, N = 3SE +/- 180.02, N = 3SE +/- 288.86, N = 3SE +/- 25.42, N = 3SE +/- 64.71, N = 3SE +/- 213.05, N = 32247919064321893574548820504861. (CXX) g++ options: -O3 -lm -ldl

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On9K18K27K36K45KSE +/- 66.23, N = 3SE +/- 185.50, N = 4SE +/- 354.53, N = 3SE +/- 75.26, N = 3SE +/- 121.29, N = 3SE +/- 189.84, N = 31808816567266802947040807421651. (CXX) g++ options: -O3 -lm -ldl

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On1632486480SE +/- 0.33, N = 15SE +/- 0.29, N = 3SE +/- 0.40, N = 3SE +/- 0.44, N = 5SE +/- 0.88, N = 3SE +/- 0.74, N = 430.5321.5349.1042.6369.8566.301. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On4080120160200SE +/- 1.48, N = 15SE +/- 2.58, N = 3SE +/- 0.67, N = 3SE +/- 0.98, N = 5SE +/- 0.73, N = 3SE +/- 0.69, N = 4131.13185.7281.4393.8157.2560.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On110K220K330K440K550KSE +/- 2454.54, N = 15SE +/- 4566.14, N = 3SE +/- 7085.48, N = 15SE +/- 3240.30, N = 15SE +/- 4676.57, N = 15SE +/- 128.97, N = 3315925531477282211150523192807999901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On80160240320400SE +/- 0.87, N = 3SE +/- 2.44, N = 3SE +/- 4.73, N = 15SE +/- 4.42, N = 15SE +/- 3.24, N = 15SE +/- 0.33, N = 3348.69374.95175.05156.60118.90102.371. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On6K12K18K24K30KSE +/- 62.45, N = 3SE +/- 73.71, N = 3SE +/- 290.93, N = 15SE +/- 152.81, N = 15SE +/- 236.00, N = 15SE +/- 11.01, N = 313910.0026160.0012609.005364.378664.823733.131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On6001200180024003000SE +/- 17.03, N = 3SE +/- 15.25, N = 3SE +/- 36.88, N = 15SE +/- 29.55, N = 15SE +/- 35.57, N = 15SE +/- 1.36, N = 32009.382752.271822.771057.361277.89717.471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On20K40K60K80K100KSE +/- 336.52, N = 3SE +/- 587.57, N = 3SE +/- 719.45, N = 15SE +/- 658.33, N = 15SE +/- 784.96, N = 15SE +/- 20.82, N = 36390778300341612297124462155401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On9K18K27K36K45KSE +/- 83.27, N = 3SE +/- 327.43, N = 3SE +/- 524.03, N = 15SE +/- 230.96, N = 15SE +/- 314.90, N = 15SE +/- 27.56, N = 322030.0043903.0024502.008840.5016205.006023.361. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On110220330440550SE +/- 1.31, N = 3SE +/- 0.99, N = 3SE +/- 2.39, N = 3SE +/- 3.01, N = 7SE +/- 4.31, N = 5SE +/- 7.04, N = 3233.17109.68302.21331.58438.37510.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On816243240SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 7SE +/- 0.09, N = 5SE +/- 0.11, N = 317.1336.4613.2212.059.127.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On918273645SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 5SE +/- 0.53, N = 3SE +/- 0.44, N = 418.8311.8826.7026.9939.1939.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On70140210280350SE +/- 0.75, N = 3SE +/- 3.29, N = 3SE +/- 0.41, N = 3SE +/- 1.50, N = 5SE +/- 1.41, N = 3SE +/- 1.15, N = 4212.15336.13149.67148.13102.03100.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On4080120160200SE +/- 0.43, N = 3SE +/- 0.83, N = 3SE +/- 2.62, N = 15SE +/- 1.99, N = 15SE +/- 0.36, N = 3SE +/- 0.08, N = 3128.05166.57132.7962.5775.8343.011. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On20K40K60K80K100KSE +/- 69.60, N = 3SE +/- 217.36, N = 3SE +/- 1028.89, N = 15SE +/- 620.71, N = 15SE +/- 78.60, N = 3SE +/- 82.12, N = 35853387627526032156533403150271. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On246810SE +/- 0.03232, N = 3SE +/- 0.01623, N = 3SE +/- 0.06304, N = 12SE +/- 0.06289, N = 3SE +/- 0.03695, N = 15SE +/- 0.14867, N = 122.869451.527072.481264.879154.120718.533141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On1.30432.60863.91295.21726.5215SE +/- 0.015865, N = 4SE +/- 0.005008, N = 4SE +/- 0.060765, N = 12SE +/- 0.129867, N = 12SE +/- 0.106785, N = 15SE +/- 0.151107, N = 141.6805800.9444321.8957803.5934203.2110805.7970401. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On3691215SE +/- 0.03292, N = 15SE +/- 0.01465, N = 15SE +/- 0.00396, N = 9SE +/- 0.01583, N = 9SE +/- 0.00826, N = 9SE +/- 0.20975, N = 153.369981.616332.523685.740303.155479.112951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

CPU Temperature Monitor

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On20406080100Min: 38.88 / Avg: 67.66 / Max: 92Min: 31.25 / Avg: 67.05 / Max: 92.13Min: 33 / Avg: 80.26 / Max: 100Min: 32 / Avg: 80.83 / Max: 100Min: 42 / Avg: 68.49 / Max: 100Min: 33 / Avg: 67.31 / Max: 100

CPU Power Consumption Monitor

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On1530456075Min: 1.3 / Avg: 16.39 / Max: 30.21Min: 1.27 / Avg: 15.88 / Max: 30.82Min: 0.54 / Avg: 28.73 / Max: 63.65Min: 0.59 / Avg: 29.93 / Max: 75.77Min: 0.35 / Avg: 15.11 / Max: 46.04Min: 0.3 / Avg: 14.57 / Max: 46.78

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Ryzen 7 7840UCore i7 1165G7Core i7 1065G7OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On9001800270036004500Min: 1114 / Avg: 2621.67 / Max: 5115Min: 1397 / Avg: 2761.55 / Max: 5115Min: 683 / Avg: 2950.53 / Max: 4707Min: 640 / Avg: 2932.06 / Max: 4745Min: 1322 / Avg: 1935.69 / Max: 3910Min: 1220 / Avg: 1946.81 / Max: 3908

65 Results Shown

OSPRay Studio:
  3 - 4K - 32 - Path Tracer
  1 - 4K - 32 - Path Tracer
TensorFlow
OpenVKL
TensorFlow
libxsmm
OSPRay Studio
oneDNN
OSPRay
OSPRay Studio
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
TensorFlow:
  CPU - 16 - ResNet-50
  CPU - 64 - AlexNet
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer
  3 - 1080p - 1 - Path Tracer
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
TensorFlow
Embree
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
oneDNN
Embree
OSPRay
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
Embree
OSPRay
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
OSPRay
TensorFlow
OSPRay Studio:
  3 - 4K - 1 - Path Tracer
  1 - 4K - 1 - Path Tracer
OpenVINO:
  Vehicle Detection FP16 - CPU:
    ms
    FPS
Cpuminer-Opt:
  Blake-2 S
  x25x
  Myriad-Groestl
  Garlicoin
  Skeincoin
  LBC, LBRY Credits
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
Cpuminer-Opt:
  scrypt
  Quad SHA-256, Pyrite
oneDNN:
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz