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AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite.

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tr AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200 OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200 OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 26.10 |==================================================================== b . 6.86 |================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3.56242 |========================= b . 9.50780 |================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 45945 |==================================================================== b . 18857 |============================ PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 17.41 |============================ b . 42.42 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 23.59 |=============================== b . 51.99 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 42390 |==================================================================== b . 19233 |=============================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 16.01 |==================================================================== b . 8.22 |=================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 17.00 |==================================================================== b . 9.42 |====================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 465116 |======================================= b . 806452 |=================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 8.42273 |================================================================== b . 5.15828 |======================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.32 |=========================================== b . 16.27 |==================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 12.77 |==================================================================== b . 8.26 |============================================ NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 24.43 |============================================= b . 37.10 |==================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 17.57 |============================================= b . 26.44 |==================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 33.39 |==================================================================== b . 22.69 |============================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 23.63 |==================================================================== b . 16.14 |============================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 7.15637 |============================================= b . 10.32340 |================================================================= oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 16.19 |==================================================== b . 21.34 |==================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.586178 |================================================== b . 0.758773 |================================================================= NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 22.28 |===================================================== b . 28.44 |==================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.77464 |==================================================== b . 3.50493 |================================================================== Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better a . 75.78 |======================================================== b . 91.70 |==================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 13.13 |========================================================== b . 15.44 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 17.17 |==================================================================== b . 14.63 |========================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 231.58 |=================================================================== b . 198.61 |========================================================= NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 41.84 |==================================================================== b . 35.91 |========================================================== Stress-NG 0.16.04 Test: Context Switching Bogo Ops/s > Higher Is Better a . 4803177.96 |========================================================= b . 5347449.26 |=============================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 415.48 |============================================================ b . 461.89 |=================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 1203 |===================================================================== b . 1083 |============================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 2.95 |===================================================================== b . 2.69 |=============================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 142.97 |============================================================= b . 156.28 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better a . 2633.78 |============================================================= b . 2871.66 |================================================================== Stress-NG 0.16.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 30660102.97 |========================================================== b . 33023477.62 |============================================================== Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed MB/s > Higher Is Better a . 854.3 |=============================================================== b . 917.1 |==================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 665 |====================================================================== b . 620 |================================================================= PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1504.47 |============================================================== b . 1613.43 |================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 18.62 |==================================================================== b . 17.38 |=============================================================== Whisper.cpp 1.4 Model: ggml-base.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 147.25 |=============================================================== b . 157.43 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a . 168083 |=============================================================== b . 179127 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4811.20 |================================================================== b . 4521.66 |============================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Dust 2D tau100.0 Seconds < Lower Is Better a . 109.72 |=================================================================== b . 103.34 |=============================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 4.963 |================================================================ b . 5.269 |==================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 103.83 |=============================================================== b . 109.63 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 126.13 |================================================================ b . 132.96 |=================================================================== QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better a . 125.40 |=================================================================== b . 119.16 |================================================================ PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1103.87 |================================================================== b . 1049.64 |=============================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 725 |=================================================================== b . 762 |====================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.72501 |================================================================== b . 9.25820 |=============================================================== Stress-NG 0.16.04 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better a . 72143203.62 |============================================================== b . 68790290.88 |=========================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better a . 272.97 |================================================================ b . 285.34 |=================================================================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better a . 68.28 |================================================================= b . 71.25 |==================================================================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better a . 13408890880 |============================================================== b . 12871751730 |============================================================ RocksDB 8.0 Test: Read While Writing Op/s > Higher Is Better a . 4617736 |================================================================== b . 4434823 |=============================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 43427177 |================================================================= b . 41795296 |=============================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 15164.3 |================================================================== b . 14597.4 |================================================================ VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 32.37 |================================================================== b . 33.59 |==================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 274.47 |================================================================= b . 284.63 |=================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 93.67 |================================================================== b . 97.08 |==================================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better a . 20.84 |==================================================================== b . 20.13 |================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 13.61 |==================================================================== b . 13.15 |================================================================== OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better a . 110.95 |=================================================================== b . 107.30 |================================================================= CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 59.42 |==================================================================== b . 57.51 |================================================================== Stress-NG 0.16.04 Test: Forking Bogo Ops/s > Higher Is Better a . 45021.86 |=============================================================== b . 46465.59 |================================================================= oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4431.40 |================================================================== b . 4295.22 |================================================================ SQLite 3.41.2 Threads / Copies: 2 Seconds < Lower Is Better a . 10.080 |=================================================================== b . 9.773 |================================================================= C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 5751.6 |=================================================================== b . 5581.8 |================================================================= Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 147.30 |=================================================================== b . 143.04 |================================================================= OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 46.77 |================================================================== b . 48.16 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better a . 114.16 |================================================================= b . 117.53 |=================================================================== nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 137957.75 |================================================================ b . 134010.32 |============================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 123.39 |=================================================================== b . 119.90 |================================================================= High Performance Conjugate Gradient 3.1 X Y Z: 144 144 144 - RT: 60 GFLOP/s > Higher Is Better a . 11.78 |================================================================== b . 12.12 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better a . 205.79 |================================================================= b . 211.63 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 13.11 |==================================================================== b . 12.75 |================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 13355.5 |================================================================== b . 12988.4 |================================================================ Apache Hadoop 3.3.6 Operation: Create - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 31279 |==================================================================== b . 30432 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 170.99 |================================================================= b . 175.73 |=================================================================== Stress-NG 0.16.04 Test: Mutex Bogo Ops/s > Higher Is Better a . 8070540.93 |=============================================================== b . 7857209.56 |============================================================= TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 60.86 |==================================================================== b . 59.30 |================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better a . 282.36 |================================================================= b . 289.64 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better a . 35080.84 |=============================================================== b . 35972.61 |================================================================= Timed LLVM Compilation 16.0 Build System: Unix Makefiles Seconds < Lower Is Better a . 351.30 |=================================================================== b . 342.62 |================================================================= OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 265.44 |=================================================================== b . 259.07 |================================================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 58.53 |==================================================================== b . 57.16 |================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 10631.0 |================================================================== b . 10382.5 |================================================================ VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 18.34 |================================================================== b . 18.76 |==================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 70.75 |================================================================== b . 72.37 |==================================================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 149.96 |================================================================== b . 153.39 |=================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better a . 658.5 |==================================================================== b . 644.0 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 306.99 |================================================================== b . 313.90 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 78.11 |==================================================================== b . 76.40 |=================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 9.868 |================================================================== b . 10.088 |=================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 50670 |==================================================================== b . 49565 |=================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better a . 257.31 |=================================================================== b . 251.77 |================================================================== SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better a . 27.47 |=================================================================== b . 28.07 |==================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 12068.3 |================================================================= b . 12332.3 |================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 390.92 |================================================================== b . 399.47 |=================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 15.78 |==================================================================== b . 15.45 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 66016855 |================================================================= b . 64703976 |================================================================ Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 1819.6 |=================================================================== b . 1784.2 |================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1488.7 |================================================================== b . 1518.2 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 38.98 |==================================================================== b . 38.23 |=================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 16072.8 |================================================================== b . 15774.0 |================================================================= oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 10.95 |==================================================================== b . 10.75 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 76.83 |==================================================================== b . 75.43 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better a . 62929621 |================================================================= b . 61785235 |================================================================ OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 85.49 |==================================================================== b . 83.94 |=================================================================== Stress-NG 0.16.04 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 329200.06 |=============================================================== b . 335277.70 |================================================================ Stress-NG 0.16.04 Test: Pipe Bogo Ops/s > Higher Is Better a . 13012555.28 |============================================================= b . 13250944.77 |============================================================== Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 2990.1 |================================================================== b . 3044.7 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7834.31 |================================================================== b . 7694.07 |================================================================= PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.340 |=================================================================== b . 0.346 |==================================================================== QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 166.38 |=================================================================== b . 163.51 |================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 574713 |================================================================== b . 584795 |=================================================================== Stress-NG 0.16.04 Test: Futex Bogo Ops/s > Higher Is Better a . 3131000.15 |============================================================== b . 3184742.79 |=============================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 99639931 |=============================================================== b . 101308261 |================================================================ OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 20.10 |==================================================================== b . 19.77 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 596.35 |================================================================== b . 606.21 |=================================================================== Whisper.cpp 1.4 Model: ggml-small.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 367.31 |=================================================================== b . 361.47 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 1468563 |================================================================== b . 1445315 |================================================================= 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a . 196462 |=================================================================== b . 193390 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 65.58 |=================================================================== b . 66.62 |==================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 15169.3 |================================================================= b . 15408.5 |================================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 30.81 |=================================================================== b . 31.27 |==================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better a . 2819.63 |================================================================= b . 2861.56 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 521.25 |================================================================== b . 529.00 |=================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 8198.4 |=================================================================== b . 8078.5 |================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 12.01 |=================================================================== b . 12.18 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 58.62 |=================================================================== b . 59.48 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 604.65 |================================================================== b . 613.47 |=================================================================== SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better a . 64.13 |=================================================================== b . 65.07 |==================================================================== Stress-NG 0.16.04 Test: Atomic Bogo Ops/s > Higher Is Better a . 196.84 |================================================================== b . 199.69 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 142.39 |================================================================== b . 144.45 |=================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 28.47 |=================================================================== b . 28.88 |==================================================================== SQLite 3.41.2 Threads / Copies: 4 Seconds < Lower Is Better a . 13.51 |=================================================================== b . 13.71 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 77.10 |=================================================================== b . 78.20 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 232.33 |=================================================================== b . 229.07 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 297.74 |================================================================== b . 301.95 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 80.54 |==================================================================== b . 79.42 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 56.93 |=================================================================== b . 57.70 |==================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 166.51 |================================================================== b . 168.75 |=================================================================== Whisper.cpp 1.4 Model: ggml-medium.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 888.52 |================================================================== b . 900.34 |=================================================================== John The Ripper 2023.03.14 Test: HMAC-SHA512 Real C/S > Higher Is Better a . 18054000 |================================================================= b . 17818000 |================================================================ uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 43.89 |=================================================================== b . 44.47 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 62.16 |=================================================================== b . 62.97 |==================================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better a . 784.8 |=================================================================== b . 795.0 |==================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 10219.1 |================================================================= b . 10351.5 |================================================================== SQLite 3.41.2 Threads / Copies: 1 Seconds < Lower Is Better a . 8.138 |==================================================================== b . 8.034 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 12665.5 |================================================================= b . 12827.7 |================================================================== libxsmm 2-1.17-3645 M N K: 256 GFLOPS/s > Higher Is Better a . 619.0 |==================================================================== b . 611.2 |=================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 5776.8 |=================================================================== b . 5705.1 |================================================================== NWChem 7.0.2 Input: C240 Buckyball Seconds < Lower Is Better a . 3570.0 |=================================================================== b . 3526.2 |================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 79251708 |================================================================ b . 80230517 |================================================================= uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 47.87 |=================================================================== b . 48.46 |==================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1660.3 |=================================================================== b . 1640.3 |================================================================== Stream 2013-01-17 Type: Scale MB/s > Higher Is Better a . 62703.7 |================================================================== b . 61955.0 |================================================================= OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 4.35238 |================================================================= b . 4.40390 |================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 36724 |==================================================================== b . 36298 |=================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 6.668 |=================================================================== b . 6.746 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 30.70 |=================================================================== b . 31.05 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 47212437 |================================================================ b . 47738065 |================================================================= OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 175.74 |=================================================================== b . 173.82 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 173.55 |================================================================== b . 175.42 |=================================================================== Stream 2013-01-17 Type: Triad MB/s > Higher Is Better a . 70199.1 |================================================================== b . 69457.1 |================================================================= Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 24597150 |================================================================= b . 24346407 |================================================================ SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better a . 30.32 |==================================================================== b . 30.02 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 13379847 |================================================================ b . 13513355 |================================================================= SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 105.50 |================================================================== b . 106.53 |=================================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 101118.4 |================================================================= b . 100146.3 |================================================================ Stream 2013-01-17 Type: Copy MB/s > Higher Is Better a . 64896.2 |================================================================== b . 64274.7 |================================================================= oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 7757.30 |================================================================= b . 7832.07 |================================================================== Stress-NG 0.16.04 Test: Floating Point Bogo Ops/s > Higher Is Better a . 9738.89 |================================================================= b . 9831.78 |================================================================== SQLite 3.41.2 Threads / Copies: 8 Seconds < Lower Is Better a . 20.11 |=================================================================== b . 20.30 |==================================================================== RocksDB 8.0 Test: Sequential Fill Op/s > Higher Is Better a . 567357 |=================================================================== b . 562039 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 38.34 |=================================================================== b . 38.70 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 7.55 |===================================================================== b . 7.48 |==================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 215613 |================================================================== b . 217620 |=================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 160 160 160 - RT: 60 GFLOP/s > Higher Is Better a . 11.82 |=================================================================== b . 11.93 |==================================================================== RocksDB 8.0 Test: Random Fill Op/s > Higher Is Better a . 523821 |=================================================================== b . 519011 |================================================================== Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better a . 39.34 |==================================================================== b . 38.98 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better a . 103115030 |================================================================ b . 102174855 |=============================================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better a . 39511.98 |================================================================ b . 39854.79 |================================================================= OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better a . 576.19 |================================================================== b . 581.15 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 85.36 |==================================================================== b . 84.64 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better a . 90156510 |================================================================ b . 90910792 |================================================================= OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 1579.27 |================================================================= b . 1592.16 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.056 |==================================================================== b . 5.016 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 41795 |=================================================================== b . 42120 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.387 |=================================================================== b . 0.390 |==================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6644.5 |================================================================== b . 6695.8 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 177262 |=================================================================== b . 175915 |================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 69.33 |=================================================================== b . 69.86 |==================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 525 |===================================================================== b . 529 |====================================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better a . 162.60 |=================================================================== b . 161.37 |================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better a . 9.27 |===================================================================== b . 9.20 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 172.90 |=================================================================== b . 171.61 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1357 |===================================================================== b . 1347 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 18.89 |=================================================================== b . 19.03 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 21662 |==================================================================== b . 21504 |==================================================================== NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better a . 14846.47 |================================================================= b . 14955.35 |================================================================= Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better a . 520.78 |=================================================================== b . 517.03 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 4308.92 |================================================================== b . 4339.32 |================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 880.45 |=================================================================== b . 886.62 |=================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 288 |====================================================================== b . 286 |====================================================================== Stream 2013-01-17 Type: Add MB/s > Higher Is Better a . 69855.0 |================================================================== b . 69373.7 |================================================================== Stress-NG 0.16.04 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 129845.95 |================================================================ b . 130745.18 |================================================================ PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 1427334 |================================================================== b . 1437151 |================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 10740.6 |================================================================== b . 10668.3 |================================================================== QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 210.95 |=================================================================== b . 209.54 |=================================================================== Stress-NG 0.16.04 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 1361420.59 |=============================================================== b . 1352360.45 |=============================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 13.61 |==================================================================== b . 13.52 |==================================================================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 48.40 |==================================================================== b . 48.08 |==================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better a . 1755.3 |=================================================================== b . 1766.9 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 152912 |=================================================================== b . 151941 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 4948.4 |=================================================================== b . 4917.3 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better a . 62863.84 |================================================================= b . 63259.23 |================================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Seconds < Lower Is Better a . 432.81 |=================================================================== b . 430.14 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better a . 91761285 |================================================================= b . 91200685 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better a . 34749.27 |================================================================= b . 34538.23 |================================================================= Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1796.9 |=================================================================== b . 1786.0 |=================================================================== SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better a . 75.99 |==================================================================== b . 76.45 |==================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 50413957 |================================================================= b . 50714345 |================================================================= C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 8104.5 |=================================================================== b . 8056.6 |=================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 34.95 |==================================================================== b . 35.16 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 1290633 |================================================================== b . 1283032 |================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 87.82 |==================================================================== b . 88.34 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 53.34 |==================================================================== b . 53.03 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 206.73 |=================================================================== b . 205.53 |=================================================================== Stress-NG 0.16.04 Test: Semaphores Bogo Ops/s > Higher Is Better a . 43582244.06 |============================================================== b . 43835038.74 |============================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better a . 58.11 |==================================================================== b . 57.78 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 167.65 |=================================================================== b . 168.61 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 19.32 |==================================================================== b . 19.43 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 43.20 |==================================================================== b . 42.96 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 169.97 |=================================================================== b . 170.89 |=================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.560 |==================================================================== b . 0.557 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 50.24 |==================================================================== b . 50.51 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 5.68 |===================================================================== b . 5.65 |===================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 70.53 |==================================================================== b . 70.16 |==================================================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better a . 36.49 |==================================================================== b . 36.30 |==================================================================== Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 70228.20 |================================================================= b . 70596.28 |================================================================= OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 18684 |==================================================================== b . 18587 |==================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better a . 61.39 |==================================================================== b . 61.07 |==================================================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 148.97 |=================================================================== b . 148.20 |=================================================================== Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better a . 20266.39 |================================================================= b . 20370.20 |================================================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 138.01 |=================================================================== b . 137.31 |=================================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 10.06 |==================================================================== b . 10.11 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 89138128 |================================================================= b . 88693320 |================================================================= OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 90406 |==================================================================== b . 89956 |==================================================================== RocksDB 8.0 Test: Update Random Op/s > Higher Is Better a . 510741 |=================================================================== b . 508214 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 99.65 |==================================================================== b . 99.16 |==================================================================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better a . 162.2 |==================================================================== b . 163.0 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 31.53 |==================================================================== b . 31.38 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better a . 46465631 |================================================================= b . 46244208 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 23339.73 |================================================================= b . 23230.57 |================================================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 61710745 |================================================================= b . 61997626 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better a . 71297.96 |================================================================= b . 71624.54 |================================================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 29150108 |================================================================= b . 29282060 |================================================================= Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better a . 247.94 |=================================================================== b . 246.83 |=================================================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 58.35 |==================================================================== b . 58.61 |==================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 298.05 |=================================================================== b . 299.37 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better a . 1563.8 |=================================================================== b . 1570.7 |=================================================================== Stress-NG 0.16.04 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 18841.57 |================================================================= b . 18923.68 |================================================================= libxsmm 2-1.17-3645 M N K: 128 GFLOPS/s > Higher Is Better a . 537.7 |==================================================================== b . 540.0 |==================================================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 124.71 |=================================================================== b . 124.18 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 92191074 |================================================================= b . 91813947 |================================================================= OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 679.25 |=================================================================== b . 681.99 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 2108.59 |================================================================== b . 2117.07 |================================================================== Stress-NG 0.16.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 6949614.18 |=============================================================== b . 6977389.16 |=============================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 17.65 |==================================================================== b . 17.58 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 140.75 |=================================================================== b . 140.20 |=================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 332.59 |=================================================================== b . 331.31 |=================================================================== nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 130670.29 |================================================================ b . 130170.09 |================================================================ Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 32.79 |==================================================================== b . 32.67 |==================================================================== John The Ripper 2023.03.14 Test: WPA PSK Real C/S > Higher Is Better a . 57766 |==================================================================== b . 57561 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 149624 |=================================================================== b . 149102 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 11.61 |==================================================================== b . 11.57 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 133.62 |=================================================================== b . 134.08 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1169 |===================================================================== b . 1165 |===================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 136.79 |=================================================================== b . 136.35 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 8342.5 |=================================================================== b . 8369.4 |=================================================================== Timed GCC Compilation 13.2 Time To Compile Seconds < Lower Is Better a . 906.35 |=================================================================== b . 903.44 |=================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 245.48 |=================================================================== b . 244.69 |=================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.629 |==================================================================== b . 0.627 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 1272693 |================================================================== b . 1276741 |================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1032.69 |================================================================== b . 1035.97 |================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 85.19 |==================================================================== b . 85.46 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 78446 |==================================================================== b . 78690 |==================================================================== x264 2022-02-22 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 231.86 |=================================================================== b . 231.15 |=================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 117.63 |=================================================================== b . 117.99 |=================================================================== SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better a . 38.88 |==================================================================== b . 38.76 |==================================================================== OpenRadioss 2023.09.15 Model: Ford Taurus 10M Seconds < Lower Is Better a . 31662.87 |================================================================= b . 31568.80 |================================================================= Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 54.12 |==================================================================== b . 53.96 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 40.83 |==================================================================== b . 40.71 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 47568 |==================================================================== b . 47429 |==================================================================== Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better a . 1350185.39 |=============================================================== b . 1354114.89 |=============================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 77778 |==================================================================== b . 77553 |==================================================================== Stress-NG 0.16.04 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 8525.01 |================================================================== b . 8549.47 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 66.67 |==================================================================== b . 66.48 |==================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 1624.4 |=================================================================== b . 1619.8 |=================================================================== Stress-NG 0.16.04 Test: Malloc Bogo Ops/s > Higher Is Better a . 29708642.78 |============================================================== b . 29792020.95 |============================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 34.89 |==================================================================== b . 34.79 |==================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s > Higher Is Better a . 12.08 |==================================================================== b . 12.04 |==================================================================== John The Ripper 2023.03.14 Test: MD5 Real C/S > Higher Is Better a . 711238 |=================================================================== b . 713164 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better a . 203.77 |=================================================================== b . 204.31 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better a . 1626.47 |================================================================== b . 1630.76 |================================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 132166.25 |================================================================ b . 131826.31 |================================================================ OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 3.91 |===================================================================== b . 3.90 |===================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 42663.03 |================================================================= b . 42770.70 |================================================================= PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.796 |==================================================================== b . 0.794 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 15.97 |==================================================================== b . 16.01 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 3062.06 |================================================================== b . 3069.68 |================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better a . 77968089 |================================================================= b . 77775125 |================================================================= Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 67835.64 |================================================================= b . 68002.69 |================================================================= PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 1256024 |================================================================== b . 1259094 |================================================================== QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 3545.3 |=================================================================== b . 3536.7 |=================================================================== Stress-NG 0.16.04 Test: Pthread Bogo Ops/s > Higher Is Better a . 100016.81 |================================================================ b . 99776.44 |================================================================ Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a . 51.79 |==================================================================== b . 51.67 |==================================================================== Stress-NG 0.16.04 Test: Wide Vector Math Bogo Ops/s > Higher Is Better a . 925723.03 |================================================================ b . 923677.84 |================================================================ Stress-NG 0.16.04 Test: Hash Bogo Ops/s > Higher Is Better a . 6322695.54 |=============================================================== b . 6336112.65 |=============================================================== RocksDB 8.0 Test: Read Random Write Random Op/s > Higher Is Better a . 2145483 |================================================================== b . 2149948 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 19.52 |==================================================================== b . 19.48 |==================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 248.4 |==================================================================== b . 247.9 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 14.97 |==================================================================== b . 15.00 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4552 |===================================================================== b . 4561 |===================================================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better a . 315.8 |==================================================================== b . 315.2 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 26.81 |==================================================================== b . 26.86 |==================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 7.47547 |================================================================== b . 7.46218 |================================================================== CloverLeaf 1.3 Input: clover_bm16 Seconds < Lower Is Better a . 937.87 |=================================================================== b . 936.22 |=================================================================== Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 474.23 |=================================================================== b . 473.41 |=================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 13381.6 |================================================================== b . 13404.6 |================================================================== John The Ripper 2023.03.14 Test: Blowfish Real C/S > Higher Is Better a . 25277 |==================================================================== b . 25234 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 447.22 |=================================================================== b . 446.46 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 748.82 |=================================================================== b . 747.65 |=================================================================== Stress-NG 0.16.04 Test: Vector Floating Point Bogo Ops/s > Higher Is Better a . 66891.41 |================================================================= b . 66994.74 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 19.65 |==================================================================== b . 19.68 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 13.30 |==================================================================== b . 13.32 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 5368 |===================================================================== b . 5376 |===================================================================== x264 2022-02-22 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 67.3 |===================================================================== b . 67.4 |===================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 6.77 |===================================================================== b . 6.78 |===================================================================== Stress-NG 0.16.04 Test: IO_uring Bogo Ops/s > Higher Is Better a . 2252032.27 |=============================================================== b . 2255307.55 |=============================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 34566 |==================================================================== b . 34614 |==================================================================== John The Ripper 2023.03.14 Test: bcrypt Real C/S > Higher Is Better a . 25292 |==================================================================== b . 25327 |==================================================================== Stress-NG 0.16.04 Test: Cloning Bogo Ops/s > Higher Is Better a . 4702.23 |================================================================== b . 4708.68 |================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 80.92 |==================================================================== b . 81.03 |==================================================================== OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better a . 41653778860 |============================================================== b . 41597335100 |============================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 15922.2 |================================================================== b . 15943.5 |================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 293.77 |=================================================================== b . 293.38 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 30.36 |==================================================================== b . 30.32 |==================================================================== Stress-NG 0.16.04 Test: Zlib Bogo Ops/s > Higher Is Better a . 4029.26 |================================================================== b . 4024.18 |================================================================== Stress-NG 0.16.04 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better a . 3732.12 |================================================================== b . 3727.55 |================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 170.23 |=================================================================== b . 170.43 |=================================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Gas HII40 Seconds < Lower Is Better a . 13.27 |==================================================================== b . 13.28 |==================================================================== OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 9.93418 |================================================================== b . 9.94526 |================================================================== RocksDB 8.0 Test: Random Read Op/s > Higher Is Better a . 145256029 |================================================================ b . 145417830 |================================================================ Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 737.41 |=================================================================== b . 738.21 |=================================================================== Stress-NG 0.16.04 Test: Vector Shuffle Bogo Ops/s > Higher Is Better a . 19219.26 |================================================================= b . 19239.65 |================================================================= OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better a . 484191.0 |================================================================= b . 484700.3 |================================================================= Stress-NG 0.16.04 Test: Vector Math Bogo Ops/s > Higher Is Better a . 210549.07 |================================================================ b . 210762.25 |================================================================ Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 28.50 |==================================================================== b . 28.47 |==================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 460.56 |=================================================================== b . 461.01 |=================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 584.80 |=================================================================== b . 584.23 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 7675.29 |================================================================== b . 7682.64 |================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 18334 |==================================================================== b . 18351 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 70.41 |==================================================================== b . 70.35 |==================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 1447730 |================================================================== b . 1446506 |================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better a . 145.44 |=================================================================== b . 145.56 |=================================================================== Stress-NG 0.16.04 Test: Poll Bogo Ops/s > Higher Is Better a . 2739015.75 |=============================================================== b . 2741243.13 |=============================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 41121 |==================================================================== b . 41088 |==================================================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better a . 24400.17 |================================================================= b . 24381.54 |================================================================= SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 26.80 |==================================================================== b . 26.82 |==================================================================== Stress-NG 0.16.04 Test: Function Call Bogo Ops/s > Higher Is Better a . 22601.20 |================================================================= b . 22617.24 |================================================================= OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1599.18 |================================================================== b . 1600.31 |================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 385.00 |=================================================================== b . 385.27 |=================================================================== OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better a . 7413.1 |=================================================================== b . 7418.1 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 15.00 |==================================================================== b . 14.99 |==================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 185.24 |=================================================================== b . 185.36 |=================================================================== Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better a . 298.74 |=================================================================== b . 298.92 |=================================================================== Stress-NG 0.16.04 Test: AVL Tree Bogo Ops/s > Higher Is Better a . 279.35 |=================================================================== b . 279.52 |=================================================================== OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 82745285840 |============================================================== b . 82789783190 |============================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 4.69553 |================================================================== b . 4.69339 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4632 |===================================================================== b . 4634 |===================================================================== Stress-NG 0.16.04 Test: NUMA Bogo Ops/s > Higher Is Better a . 380.81 |=================================================================== b . 380.65 |=================================================================== OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better a . 121391741680 |============================================================= b . 121341157650 |============================================================= CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 107.77 |=================================================================== b . 107.74 |=================================================================== OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better a . 132458672400 |============================================================= b . 132491461970 |============================================================= Stress-NG 0.16.04 Test: MMAP Bogo Ops/s > Higher Is Better a . 297.92 |=================================================================== b . 297.98 |=================================================================== Stress-NG 0.16.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 13970811.83 |============================================================== b . 13973199.87 |============================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 118.02 |=================================================================== b . 118.04 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 155.73 |=================================================================== b . 155.71 |=================================================================== Stress-NG 0.16.04 Test: MEMFD Bogo Ops/s > Higher Is Better a . 397.05 |=================================================================== b . 397.08 |=================================================================== OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better a . 123425530680 |============================================================= b . 123417875470 |============================================================= RocksDB 8.0 Test: Random Fill Sync Op/s > Higher Is Better a . 47898 |==================================================================== b . 47898 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.55 |===================================================================== b . 0.55 |===================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.02 |===================================================================== b . 1.02 |===================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.691 |==================================================================== b . 0.691 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1150 |===================================================================== b . 1150 |===================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.51 |===================================================================== b . 0.51 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 1.04 |===================================================================== b . 1.04 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 1.03 |===================================================================== b . 1.03 |===================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 41.57 |==================================================================== b . 41.57 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 19.86 |==================================================================== b . 19.86 |==================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed MB/s > Higher Is Better a . 17.3 |===================================================================== b . 17.3 |===================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 Seconds < Lower Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 Seconds < Lower Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 Seconds < Lower Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 Seconds < Lower Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Build2 0.15 Time To Compile Seconds < Lower Is Better Timed FFmpeg Compilation 6.0 Time To Compile Seconds < Lower Is Better Embree 4.3 Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon Obj Frames Per Second > Higher Is Better Embree 4.3 Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon Frames Per Second > Higher Is Better Embree 4.3 Binary: Pathtracer oneAPI SYCL - Model: Crown Frames Per Second > Higher Is Better dav1d 1.2.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better dav1d 1.2.1 Video Input: Summer Nature 1080p FPS > Higher Is Better dav1d 1.2.1 Video Input: Summer Nature 4K FPS > Higher Is Better dav1d 1.2.1 Video Input: Chimera 1080p FPS > Higher Is Better High Performance Conjugate Gradient 3.1 X Y Z: 192 192 192 - RT: 1800 GFLOP/s > Higher Is Better High Performance Conjugate Gradient 3.1 X Y Z: 192 192 192 - RT: 60 GFLOP/s > Higher Is Better