tgls Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 22.04, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 22.04, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 10149.8 |============================================================== b . 10851.9 |================================================================== c . 9898.3 |============================================================ C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 8877.9 |================================================================= b . 9133.5 |=================================================================== c . 8841.6 |================================================================= C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 8499.9 |================================================================= b . 8751.4 |=================================================================== c . 8437.5 |================================================================= C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 7801.5 |================================================================= b . 8005.2 |=================================================================== c . 7884.2 |================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 9850.2 |================================================================ b . 10107.7 |================================================================== c . 9885.9 |================================================================= C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6629.3 |================================================================== b . 6779.3 |=================================================================== c . 6665.5 |================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 5080.8 |================================================================== b . 5182.4 |=================================================================== c . 5107.4 |================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 9769.5 |================================================================ b . 10085.2 |================================================================== c . 10073.9 |================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 8558.6 |================================================================= b . 8842.0 |=================================================================== c . 8780.8 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 8124.8 |================================================================== b . 8273.4 |=================================================================== c . 8221.1 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 7456.9 |=================================================================== b . 7472.9 |=================================================================== c . 7452.8 |=================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 9000.6 |================================================================= b . 9267.8 |=================================================================== c . 9052.0 |================================================================= C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 8299.4 |================================================================ b . 8646.1 |=================================================================== c . 8660.0 |=================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 7691.6 |================================================================== b . 7799.7 |=================================================================== c . 7839.9 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6398.4 |=================================================================== b . 6413.8 |=================================================================== c . 6391.1 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 4883.8 |================================================================= b . 5007.6 |=================================================================== c . 4922.9 |================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6601.2 |================================================================== b . 6738.5 |=================================================================== c . 6470.2 |================================================================ C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 5086.8 |=================================================================== b . 5087.2 |=================================================================== c . 5010.3 |================================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 13707.0 |================================================================== b . 13689.3 |================================================================== c . 13287.0 |================================================================ QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 3489.3 |=================================================================== b . 3488.1 |=================================================================== c . 3375.6 |================================================================= CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 117.10 |=================================================================== b . 116.20 |================================================================== c . 117.62 |=================================================================== CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 206.97 |=================================================================== b . 203.68 |================================================================== c . 203.49 |================================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better a . 76.19 |==================================================================== b . 69.78 |============================================================== c . 75.96 |==================================================================== QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 687.22 |=================================================================== b . 653.08 |================================================================ c . 675.81 |================================================================== QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better a . 83.22 |================================================================= b . 83.17 |================================================================= c . 87.02 |==================================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 31.22 |=================================================================== b . 31.76 |==================================================================== c . 31.75 |==================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better a . 222.05 |============================================================== b . 222.61 |============================================================== c . 239.07 |=================================================================== QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 110.52 |==================================================== b . 110.13 |==================================================== c . 141.41 |=================================================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 245.14 |=================================================================== b . 243.36 |=================================================================== c . 241.64 |================================================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 653.24 |=================================================================== b . 650.51 |================================================================== c . 657.96 |=================================================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 482.80 |=================================================================== b . 479.06 |================================================================== c . 480.70 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 189.77 |=================================================================== b . 185.32 |================================================================= c . 177.32 |=============================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 79.05 |==================================================================== b . 79.50 |==================================================================== c . 79.15 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 13.29 |==================================================================== b . 13.26 |==================================================================== c . 13.11 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 12.63 |=================================================================== b . 12.69 |==================================================================== c . 12.76 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 50.35 |=================================================================== b . 51.03 |==================================================================== c . 49.38 |================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 26.42 |==================================================================== b . 26.40 |==================================================================== c . 25.93 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 49.70 |==================================================================== b . 50.01 |==================================================================== c . 49.79 |==================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 26.42 |==================================================================== b . 26.43 |==================================================================== c . 25.88 |=================================================================== DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better a . 4755 |===================================================================== b . 4585 |=================================================================== c . 4654 |==================================================================== DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better a . 14549 |==================================================================== b . 14537 |==================================================================== c . 14307 |=================================================================== DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better a . 4418 |===================================================================== b . 4400 |===================================================================== c . 4428 |===================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better a . 2943 |===================================================================== b . 2939 |===================================================================== c . 2947 |===================================================================== DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better a . 7683 |================================================ b . 7183 |============================================= c . 10909 |==================================================================== DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better a . 5151 |================================================================= b . 5416 |===================================================================== c . 5444 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better a . 5346 |===================================================================== b . 5341 |===================================================================== c . 5351 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better a . 14326 |=================================================================== b . 14327 |=================================================================== c . 14456 |==================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better a . 6914 |===================================================================== b . 6893 |===================================================================== c . 6876 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better a . 7845 |===================================================================== b . 7797 |===================================================================== c . 7848 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better a . 1248 |============================================================ b . 1438 |===================================================================== c . 1264 |============================================================= DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better a . 1392 |===================================================================== b . 1321 |================================================================= c . 1362 |==================================================================== DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better a . 5250 |=================================================================== b . 5440 |===================================================================== c . 5419 |===================================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better a . 709 |====================================================================== b . 702 |===================================================================== c . 690 |==================================================================== DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better a . 3315 |=============================================================== b . 3645 |===================================================================== c . 3187 |============================================================ DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better a . 3397 |================================================================ b . 3655 |===================================================================== c . 3541 |=================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better a . 6558 |==================================================================== b . 6472 |=================================================================== c . 6687 |===================================================================== DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better a . 2554 |=================================================================== b . 2524 |=================================================================== c . 2612 |===================================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better a . 6163 |==================================================================== b . 6160 |==================================================================== c . 6249 |===================================================================== DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better a . 3123 |=================================================================== b . 3195 |===================================================================== c . 3198 |===================================================================== DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better a . 3223 |=========================================================== b . 3772 |===================================================================== c . 3335 |============================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 10.613 |=================================================================== b . 9.924 |=============================================================== c . 9.620 |============================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 189.03 |=================================================================== b . 188.68 |=================================================================== c . 188.52 |=================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 4.1966 |=================================================================== b . 4.2047 |=================================================================== c . 4.2112 |=================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 4.9067 |=================================================================== b . 4.9376 |=================================================================== c . 4.6745 |=============================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 4.8695 |=================================================================== b . 4.8785 |=================================================================== c . 4.8776 |=================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 4.4332 |=================================================================== b . 4.4038 |=================================================================== c . 4.4308 |=================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 6.1486 |=================================================================== b . 6.1218 |=================================================================== c . 5.8890 |================================================================ Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 5.2742 |=================================================================== b . 5.2679 |=================================================================== c . 5.0433 |================================================================ SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 1.209 |==================================================================== b . 1.211 |==================================================================== c . 1.175 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 14.86 |==================================================================== b . 14.84 |==================================================================== c . 14.76 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 37.70 |==================================================================== b . 37.90 |==================================================================== c . 33.44 |============================================================ SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 42.30 |=================================================================== b . 42.44 |=================================================================== c . 43.14 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 4.593 |================================================================= b . 4.801 |==================================================================== c . 4.250 |============================================================ SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 42.13 |==================================================================== b . 41.54 |=================================================================== c . 38.79 |=============================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 191.61 |========================================================== b . 189.29 |========================================================= c . 221.84 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 290.54 |=================================================================== b . 289.78 |=================================================================== c . 288.16 |================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 1.738 |==================================================================== b . 1.733 |==================================================================== c . 1.679 |================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 3.843 |==================================================================== b . 3.858 |==================================================================== c . 3.711 |================================================================= VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 5.428 |==================================================================== b . 5.415 |==================================================================== c . 5.343 |=================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 13.20 |==================================================================== b . 13.21 |==================================================================== c . 13.17 |==================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== c . 0.15 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== c . 0.15 |===================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.07 |===================================================================== b . 0.07 |===================================================================== c . 0.07 |===================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 124 |====================================================================== b . 124 |====================================================================== c . 105 |=========================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 41 |======================================================================= b . 40 |===================================================================== c . 37 |================================================================ libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a . 381.27 |================================================================= b . 383.21 |================================================================= c . 392.47 |=================================================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a . 168.17 |================================================================= b . 168.56 |================================================================= c . 172.81 |=================================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a . 14.73 |=================================================================== b . 14.83 |=================================================================== c . 14.95 |==================================================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 22.31 |==================================================================== b . 22.19 |=================================================================== c . 22.45 |==================================================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 9.678 |==================================================================== b . 9.506 |=================================================================== c . 9.597 |=================================================================== Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better a . 128.96 |================================================================== b . 128.75 |================================================================== c . 130.59 |=================================================================== Timed GCC Compilation 13.2 Time To Compile Seconds < Lower Is Better a . 2337.79 |================================================================= b . 2342.49 |================================================================= c . 2374.92 |================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 1296.13 |================================================================= b . 1299.28 |================================================================== c . 1309.17 |================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.76989 |============================================================ b . 6.76791 |============================================================ c . 7.39175 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.08399 |================================================================== b . 6.09457 |================================================================== c . 6.07427 |================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.58930 |================================================================== b . 1.59378 |================================================================== c . 1.59090 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.40204 |================================================================= b . 2.44303 |================================================================== c . 2.40573 |================================================================= oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 21.44 |============================================================ b . 24.37 |==================================================================== c . 22.28 |============================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5.96832 |================================================================== b . 5.92005 |================================================================= c . 5.93496 |================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.49762 |================================================================== b . 8.44523 |================================================================== c . 8.47369 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 11.33250 |================================================================= b . 10.26470 |=========================================================== c . 9.93517 |========================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.87897 |================================================================ b . 10.07040 |================================================================= c . 10.03890 |================================================================= oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7.88294 |================================================================= b . 8.05175 |================================================================== c . 7.95953 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.15486 |================================================================ b . 2.22896 |================================================================== c . 2.18576 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.45216 |================================================================= b . 2.44729 |================================================================= c . 2.47290 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 7128.22 |================================================================== b . 7138.73 |================================================================== c . 7174.36 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3701.08 |================================================================== b . 3699.05 |================================================================== c . 3703.50 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7179.51 |================================================================== b . 7178.23 |================================================================== c . 7176.24 |================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 50.88 |==================================================================== b . 51.01 |==================================================================== c . 50.97 |==================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 42.98 |=================================================================== b . 43.39 |==================================================================== c . 43.16 |==================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 35.72 |==================================================================== b . 35.78 |==================================================================== c . 35.73 |==================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3671.69 |================================================================== b . 3680.74 |================================================================== c . 3680.01 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 7189.12 |================================================================== b . 7178.37 |================================================================== c . 7178.94 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3703.86 |================================================================== b . 3697.25 |================================================================== c . 3699.85 |================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 26473 |===================================================== b . 26522 |===================================================== c . 33836 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 31575 |==================================================================== b . 31507 |==================================================================== c . 31324 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 33081 |========================================================== b . 33073 |========================================================== c . 39043 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 429631 |============================================================= b . 429276 |============================================================= c . 470269 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 858149 |============================================================= b . 856610 |============================================================= c . 943953 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 436532 |============================================================= b . 438395 |============================================================== c . 476659 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 869726 |============================================================= b . 870122 |============================================================= c . 951381 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 514920 |============================================================= b . 514145 |============================================================= c . 561556 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1025430 |============================================================ b . 1024292 |============================================================ c . 1119430 |================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 6673 |=============================================================== b . 6704 |=============================================================== c . 7343 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 6768 |=============================================================== b . 6786 |=============================================================== c . 7425 |===================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 7982 |=============================================================== b . 7987 |=============================================================== c . 8722 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 111136 |============================================================= b . 111078 |============================================================= c . 122118 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 217399 |============================================================= b . 218393 |============================================================= c . 239831 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 112613 |============================================================= b . 113201 |============================================================= c . 123787 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 221087 |============================================================= b . 222412 |============================================================= c . 242527 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 132433 |============================================================= b . 132979 |============================================================= c . 145066 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 260252 |============================================================= b . 261073 |============================================================= c . 285007 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 79.32 |==================================================================== b . 78.74 |==================================================================== c . 78.68 |=================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 44.52 |==================================================================== b . 36.67 |======================================================== c . 36.39 |======================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 992.85 |===================================================== b . 1232.90 |================================================================== c . 1185.50 |=============================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 526.74 |=================================================================== b . 436.98 |======================================================== c . 436.97 |======================================================== Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 18920 |======================================================= b . 23420 |==================================================================== c . 22910 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 530.61 |=================================================================== b . 451.17 |========================================================= c . 456.13 |========================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 3997.83 |================================================== b . 5234.04 |================================================================== c . 4034.91 |=================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 1627.74 |================================================================= b . 1337.88 |====================================================== c . 1647.77 |================================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 1723.39 |======================================================= b . 2080.34 |================================================================== c . 1755.69 |======================================================== Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 8552.11 |================================================================== b . 7883.39 |============================================================= c . 7888.21 |============================================================= Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 9651.39 |================================================================== b . 9651.58 |================================================================== c . 9653.77 |================================================================== RabbitMQ 3.12.7 Scenario: Simple 2 Publishers + 4 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 10 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 60 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 120 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 200 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 3.9794 |=================================================================== b . 3.9535 |=================================================================== c . 3.8837 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 501.90 |================================================================= b . 504.86 |================================================================== c . 514.94 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 164.34 |=================================================================== b . 157.58 |================================================================ c . 140.06 |========================================================= Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 12.14 |========================================================== b . 12.66 |============================================================ c . 14.25 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 63.85 |==================================================================== b . 63.89 |==================================================================== c . 61.01 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 31.29 |================================================================= b . 31.27 |================================================================= c . 32.75 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 16.44 |==================================================================== b . 16.31 |=================================================================== c . 16.08 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 121.50 |================================================================== b . 122.59 |================================================================== c . 124.18 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 54.41 |==================================================================== b . 54.31 |==================================================================== c . 53.99 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 36.73 |=================================================================== b . 36.80 |==================================================================== c . 37.01 |==================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 423.50 |=================================================================== b . 391.97 |============================================================== c . 367.11 |========================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 4.6989 |========================================================== b . 5.0779 |=============================================================== c . 5.4230 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 21.35 |================================================================ b . 22.59 |==================================================================== c . 21.62 |================================================================= Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 93.65 |==================================================================== b . 88.48 |================================================================ c . 92.45 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 4.2577 |=================================================================== b . 4.2784 |=================================================================== c . 4.1156 |================================================================ Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 469.68 |================================================================= b . 466.25 |================================================================ c . 485.92 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 53.89 |==================================================================== b . 53.77 |==================================================================== c . 53.66 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 37.08 |==================================================================== b . 37.15 |==================================================================== c . 37.24 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 23.01 |==================================================================== b . 21.57 |================================================================ c . 21.13 |============================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 86.90 |============================================================== b . 92.70 |=================================================================== c . 94.63 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 27.66 |============================================================== b . 30.16 |==================================================================== c . 27.97 |=============================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 72.27 |==================================================================== b . 66.28 |============================================================== c . 71.47 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 6.8296 |=================================================================== b . 6.7467 |================================================================== c . 6.6347 |================================================================= Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 292.80 |================================================================= b . 296.40 |================================================================== c . 301.40 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 68.74 |================================================================= b . 71.43 |==================================================================== c . 56.86 |====================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 29.05 |======================================================== b . 27.95 |====================================================== c . 35.13 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 14.68 |==================================================================== b . 13.77 |================================================================ c . 14.70 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 136.21 |=============================================================== b . 145.16 |=================================================================== c . 136.01 |=============================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 3.3887 |================================================================ b . 3.5666 |=================================================================== c . 3.3874 |================================================================ Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 590.17 |=================================================================== b . 560.72 |================================================================ c . 590.37 |=================================================================== Stress-NG 0.16.04 Test: Hash Bogo Ops/s > Higher Is Better a . 814204.59 |================================================================ b . 761130.78 |============================================================ c . 808351.87 |================================================================ Stress-NG 0.16.04 Test: MMAP Bogo Ops/s > Higher Is Better a . 69.50 |==================================================================== b . 69.31 |==================================================================== c . 36.33 |==================================== Stress-NG 0.16.04 Test: NUMA Bogo Ops/s > Higher Is Better a . 91.38 |==================================================================== b . 90.40 |=================================================================== c . 67.68 |================================================== Stress-NG 0.16.04 Test: Pipe Bogo Ops/s > Higher Is Better a . 3286500.94 |=============================================================== b . 2941192.56 |======================================================== c . 2989197.58 |========================================================= Stress-NG 0.16.04 Test: Poll Bogo Ops/s > Higher Is Better a . 583755.41 |================================================================ b . 577995.91 |=============================================================== c . 577081.19 |=============================================================== Stress-NG 0.16.04 Test: Zlib Bogo Ops/s > Higher Is Better a . 339.75 |=================================================================== b . 328.60 |================================================================= c . 327.19 |================================================================= Stress-NG 0.16.04 Test: Futex Bogo Ops/s > Higher Is Better a . 1556806.04 |============================================================== b . 1573811.12 |=============================================================== c . 1409614.10 |======================================================== Stress-NG 0.16.04 Test: MEMFD Bogo Ops/s > Higher Is Better a . 151.83 |============================================================== b . 163.56 |=================================================================== c . 155.80 |================================================================ Stress-NG 0.16.04 Test: Mutex Bogo Ops/s > Higher Is Better a . 1800239.74 |=============================================================== b . 1732350.97 |============================================================= c . 1454355.06 |=================================================== Stress-NG 0.16.04 Test: Atomic Bogo Ops/s > Higher Is Better a . 297.71 |============================================================= b . 298.85 |============================================================== c . 325.29 |=================================================================== Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 7870.33 |================================================================== b . 7909.16 |================================================================== c . 7843.28 |================================================================= Stress-NG 0.16.04 Test: Malloc Bogo Ops/s > Higher Is Better a . 1275453.62 |=============================================================== b . 1281240.89 |=============================================================== c . 1028677.94 |=================================================== Stress-NG 0.16.04 Test: Cloning Bogo Ops/s > Higher Is Better a . 773.96 |================================================================= b . 801.63 |=================================================================== c . 773.35 |================================================================= Stress-NG 0.16.04 Test: Forking Bogo Ops/s > Higher Is Better a . 19571.06 |================================================================= b . 17963.97 |============================================================ c . 15226.03 |=================================================== Stress-NG 0.16.04 Test: Pthread Bogo Ops/s > Higher Is Better a . 87060.44 |================================================================= b . 83444.87 |============================================================== c . 77712.52 |========================================================== Stress-NG 0.16.04 Test: AVL Tree Bogo Ops/s > Higher Is Better a . 38.00 |=================================================================== b . 38.26 |=================================================================== c . 38.60 |==================================================================== Stress-NG 0.16.04 Test: IO_uring Bogo Ops/s > Higher Is Better a . 335053.51 |============================================================= b . 350882.75 |================================================================ c . 335942.42 |============================================================= Stress-NG 0.16.04 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 74606.13 |================================================================= b . 58965.05 |=================================================== c . 60163.92 |==================================================== Stress-NG 0.16.04 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 788775.98 |================================================================ b . 614301.31 |================================================== c . 541147.88 |============================================ Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 8190.18 |================================================================== b . 7691.29 |============================================================== c . 6915.21 |======================================================== Stress-NG 0.16.04 Test: Semaphores Bogo Ops/s > Higher Is Better a . 8568428.80 |============================================================ b . 7131559.06 |================================================== c . 9046086.62 |=============================================================== Stress-NG 0.16.04 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 19810.07 |================================================================= b . 18411.16 |============================================================ c . 16983.95 |======================================================== Stress-NG 0.16.04 Test: Vector Math Bogo Ops/s > Higher Is Better a . 19001.52 |================================================================= b . 15774.03 |====================================================== c . 15404.09 |===================================================== Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better a . 575521.32 |================================================================ b . 467858.43 |==================================================== c . 497416.91 |======================================================= Stress-NG 0.16.04 Test: Function Call Bogo Ops/s > Higher Is Better a . 2533.58 |================================================================== b . 2144.47 |======================================================== c . 2126.84 |======================================================= Stress-NG 0.16.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 1190.72 |================================================================== b . 1175.31 |================================================================= c . 1107.03 |============================================================= Stress-NG 0.16.04 Test: Floating Point Bogo Ops/s > Higher Is Better a . 1644.27 |================================================================== b . 1377.23 |======================================================= c . 1350.58 |====================================================== Stress-NG 0.16.04 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better a . 1503.69 |================================================================== b . 1497.30 |================================================================== c . 1479.59 |================================================================= Stress-NG 0.16.04 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 1450.68 |================================================================== b . 1175.93 |====================================================== c . 1179.30 |====================================================== Stress-NG 0.16.04 Test: Vector Shuffle Bogo Ops/s > Higher Is Better a . 40150.80 |================================================================= b . 34114.33 |======================================================= c . 33753.34 |======================================================= Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better a . 3933.30 |================================================================== b . 3841.89 |================================================================ c . 3666.05 |============================================================== Stress-NG 0.16.04 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 6702.46 |================================================================== b . 4404.68 |=========================================== c . 5819.48 |========================================================= Stress-NG 0.16.04 Test: Wide Vector Math Bogo Ops/s > Higher Is Better a . 259593.94 |================================================================ b . 230331.68 |========================================================= c . 230559.53 |========================================================= Stress-NG 0.16.04 Test: Context Switching Bogo Ops/s > Higher Is Better a . 1325769.49 |=============================================================== b . 1291162.21 |============================================================= c . 1089870.73 |==================================================== Stress-NG 0.16.04 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better a . 4206478.30 |============================================================== b . 3753786.13 |======================================================= c . 4280472.18 |=============================================================== Stress-NG 0.16.04 Test: Vector Floating Point Bogo Ops/s > Higher Is Better a . 11875.81 |================================================================= b . 9743.95 |===================================================== c . 8453.72 |============================================== Stress-NG 0.16.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 3597888.50 |=============================================================== b . 3169430.98 |======================================================= c . 2687720.74 |=============================================== Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 104.16 |=================================================================== b . 85.03 |======================================================= c . 85.43 |======================================================= Stress-NG 0.16.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 6382311.82 |=============================================================== b . 5221036.03 |==================================================== c . 4574104.46 |============================================= NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 18.82 |===== b . 273.80 |=================================================================== c . 265.17 |================================================================= NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.42 |==== b . 76.64 |==================================================================== c . 71.04 |=============================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.50 |==== b . 54.67 |================================================================== c . 56.24 |==================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.45 |==== b . 55.66 |=============================================================== c . 59.68 |==================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 3.77 |==== b . 59.72 |================================================================ c . 63.80 |==================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 7.17 |===== b . 88.38 |================================================================== c . 91.44 |==================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 1.29 |===== b . 13.67 |==================================================== c . 17.89 |==================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 13.84 |===== b . 196.54 |=================================================================== c . 180.35 |============================================================= NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 49.76 |====== b . 563.22 |=================================================================== c . 534.25 |================================================================ NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 9.44 |==== b . 132.13 |=========================================================== c . 149.31 |=================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 7.44 |==== b . 119.06 |======================================================== c . 141.51 |=================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 23.94 |==== b . 372.91 |=================================================================== c . 349.97 |=============================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 26.69 |===== b . 354.78 |=================================================================== c . 336.66 |================================================================ NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 11.91 |===== b . 174.87 |=================================================================== c . 174.48 |=================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 10.75 |===== b . 143.48 |=================================================================== c . 127.58 |============================================================ NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 185.96 |====== b . 2056.91 |================================================================== c . 1952.08 |=============================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 5.05 |===== b . 57.01 |============================================================ c . 64.89 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 18.97 |===== b . 282.29 |=================================================================== c . 266.51 |=============================================================== NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.39 |==== b . 75.30 |==================================================================== c . 66.65 |============================================================ NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.48 |==== b . 66.64 |==================================================================== c . 54.85 |======================================================== NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.40 |==== b . 54.38 |================================================================= c . 56.62 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 3.77 |==== b . 62.71 |=================================================================== c . 63.33 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 5.61 |==== b . 86.30 |============================================================ c . 97.95 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 0.92 |=== b . 21.67 |==================================================================== c . 15.59 |================================================= NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 11.36 |==== b . 184.62 |=================================================================== c . 178.40 |================================================================= NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 47.81 |====== b . 542.46 |=================================================================== c . 541.65 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 8.36 |==== b . 130.84 |================================================================= c . 134.78 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 6.81 |==== b . 122.08 |================================================================= c . 124.98 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 23.98 |===== b . 354.34 |=================================================================== c . 328.87 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 26.68 |===== b . 347.17 |=================================================================== c . 341.71 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 11.90 |==== b . 177.20 |=================================================================== c . 164.33 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 8.05 |==== b . 132.95 |=================================================================== c . 133.77 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 182.09 |====== b . 2069.02 |================================================================== c . 1933.05 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 4.83 |===== b . 62.98 |==================================================================== c . 55.01 |=========================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.11 |===================================================================== b . 1.07 |=================================================================== c . 1.01 |=============================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 3600.29 |============================================================= b . 3719.15 |=============================================================== c . 3922.05 |================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 11.52 |==================================================================== b . 10.81 |================================================================ c . 10.77 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 346.37 |=============================================================== b . 369.62 |=================================================================== c . 370.61 |=================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 11.59 |==================================================================== b . 10.78 |=============================================================== c . 10.72 |=============================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 344.94 |============================================================== b . 370.73 |=================================================================== c . 372.34 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 83.21 |==================================================================== b . 77.29 |=============================================================== c . 77.19 |=============================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 48.04 |=============================================================== b . 51.72 |==================================================================== c . 51.79 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 4.05 |===================================================================== b . 3.75 |================================================================ c . 3.75 |================================================================ OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 985.39 |============================================================= b . 1059.61 |================================================================== c . 1061.06 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 271.08 |=================================================================== b . 261.21 |================================================================= c . 263.43 |================================================================= OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 14.73 |================================================================== b . 15.29 |==================================================================== c . 15.17 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 41.06 |==================================================================== b . 38.82 |================================================================ c . 38.72 |================================================================ OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 97.39 |=============================================================== b . 103.02 |=================================================================== c . 103.24 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 222.27 |=================================================================== b . 211.09 |================================================================ c . 211.63 |================================================================ OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 17.97 |================================================================= b . 18.93 |==================================================================== c . 18.88 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 105.49 |=================================================================== b . 97.09 |============================================================== c . 97.33 |============================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 37.89 |=============================================================== b . 41.18 |==================================================================== c . 41.07 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 660.54 |=================================================================== b . 606.16 |============================================================= c . 608.75 |============================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 6.04 |=============================================================== b . 6.59 |===================================================================== c . 6.56 |===================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 81.00 |==================================================================== b . 75.63 |=============================================================== c . 75.52 |=============================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 49.36 |=============================================================== b . 52.86 |==================================================================== c . 52.94 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 13.90 |==================================================================== b . 12.79 |=============================================================== c . 12.79 |=============================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 287.28 |============================================================== b . 312.41 |=================================================================== c . 312.33 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 384.36 |=================================================================== b . 366.17 |================================================================ c . 368.00 |================================================================ OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 10.38 |================================================================= b . 10.91 |==================================================================== c . 10.86 |==================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 145.83 |=================================================================== b . 137.20 |=============================================================== c . 136.61 |=============================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 27.41 |================================================================ b . 29.13 |==================================================================== c . 29.26 |==================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 53.07 |==================================================================== b . 47.86 |============================================================= c . 47.69 |============================================================= OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 75.35 |============================================================= b . 83.53 |==================================================================== c . 83.82 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 2874.25 |================================================================== b . 2834.17 |================================================================= c . 2763.40 |=============================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.37 |================================================================== b . 1.40 |==================================================================== c . 1.43 |===================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 61.12 |==================================================================== b . 54.46 |============================================================= c . 55.20 |============================================================= OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 65.40 |============================================================= b . 73.40 |==================================================================== c . 72.42 |=================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 8360.99 |================================================================== b . 7457.91 |=========================================================== c . 7460.73 |=========================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.47 |============================================================= b . 0.53 |===================================================================== c . 0.53 |===================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 43984 |==================================================================== b . 37649 |========================================================== c . 37916 |=========================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 54646 |==================================================================== b . 54938 |==================================================================== c . 53711 |==================================================================