sss AMD Ryzen Z1 Extreme testing with a ASUS RC71L v1.0 (RC71L.319 BIOS) and ASUS AMD Phoenix1 4GB on Ubuntu 23.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen Z1 Extreme @ 5.29GHz (8 Cores / 16 Threads), Motherboard: ASUS RC71L v1.0 (RC71L.319 BIOS), Chipset: AMD Device 14e8, Memory: 12GB, Disk: 512GB Micron_2400_MTFDKBK512QFM + 1000GB RTL9210B-CG, Graphics: ASUS AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.04, Kernel: 6.5.0-060500daily20230902-generic (x86_64), Desktop: GNOME Shell 44.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.4-0ubuntu1~23.04.1 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Z1 Extreme @ 5.29GHz (8 Cores / 16 Threads), Motherboard: ASUS RC71L v1.0 (RC71L.319 BIOS), Chipset: AMD Device 14e8, Memory: 12GB, Disk: 512GB Micron_2400_MTFDKBK512QFM + 1000GB RTL9210B-CG, Graphics: ASUS AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.04, Kernel: 6.5.0-060500daily20230902-generic (x86_64), Desktop: GNOME Shell 44.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.4-0ubuntu1~23.04.1 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1080 CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 878.72 |=================================================================== b . 557.23 |========================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 10374.9 |=============================================== b . 14431.6 |================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 11629.9 |================================================= b . 15796.6 |================================================================== QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 3157.8 |================================================== b . 4249.1 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 36890 |==================================================================== b . 28480 |==================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 9842.6 |===================================================== b . 12159.8 |================================================================== QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better a . 87.30 |==================================================================== b . 71.00 |======================================================= Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 24850 |==================================================================== b . 20360 |======================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 27.11 |==================================================================== b . 22.34 |======================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 25429.7 |======================================================== b . 30113.4 |================================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better a . 35.51 |==================================================================== b . 30.35 |========================================================== QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 120.83 |=================================================================== b . 103.57 |========================================================= OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better a . 217.60 |=================================================================== b . 195.49 |============================================================ DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better a . 608 |=============================================================== b . 676 |====================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 25.84 |==================================================================== b . 23.32 |============================================================= DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better a . 3074 |=============================================================== b . 3392 |===================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 39.33 |============================================================== b . 43.24 |==================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 201.99 |=================================================================== b . 184.19 |============================================================= DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better a . 3408 |===================================================================== b . 3122 |=============================================================== DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better a . 1519 |===================================================================== b . 1410 |================================================================ Java SciMark 2.2 Computational Test: Fast Fourier Transform Mflops > Higher Is Better a . 311.71 |=================================================================== b . 292.53 |=============================================================== DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better a . 2858 |================================================================= b . 3038 |===================================================================== DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better a . 2021 |================================================================= b . 2132 |===================================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better a . 4892 |================================================================== b . 5100 |===================================================================== CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 99.60 |==================================================================== b . 95.62 |================================================================= DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better a . 2648 |===================================================================== b . 2544 |================================================================== OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better a . 1461.64 |================================================================== b . 1405.65 |=============================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better a . 662 |====================================================================== b . 637 |=================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 10.40 |==================================================================== b . 10.03 |================================================================== DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better a . 1052 |=================================================================== b . 1081 |===================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better a . 167.38 |================================================================= b . 171.74 |=================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.41 |===================================================================== b . 0.40 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 11.13 |==================================================================== b . 10.86 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 11.24 |================================================================== b . 11.51 |==================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5.96102 |================================================================== b . 5.82826 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3.23326 |================================================================== b . 3.16325 |================================================================= Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 10.78 |=================================================================== b . 11.01 |==================================================================== DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better a . 5494 |===================================================================== b . 5391 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 10.16 |=================================================================== b . 10.35 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 13280 |==================================================================== b . 13040 |=================================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 6509.90 |================================================================= b . 6629.39 |================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 0.59 |===================================================================== b . 0.58 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 53.36 |=================================================================== b . 54.26 |==================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 8.94 |==================================================================== b . 9.09 |===================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 11.64 |=================================================================== b . 11.84 |==================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 445.77 |=================================================================== b . 438.51 |================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 3.63 |==================================================================== b . 3.69 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 3.70 |===================================================================== b . 3.64 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 1069.86 |================================================================= b . 1087.42 |================================================================== Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 54850 |=================================================================== b . 55740 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 74.84 |==================================================================== b . 73.65 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 467.82 |================================================================== b . 475.34 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 3241.18 |================================================================= b . 3293.04 |================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 12554.93 |================================================================ b . 12751.83 |================================================================= OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 17.00 |==================================================================== b . 16.74 |=================================================================== DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better a . 3754 |===================================================================== b . 3697 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 856.13 |=================================================================== b . 843.14 |================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 9.19 |==================================================================== b . 9.33 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 4.66 |==================================================================== b . 4.73 |===================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 10.34 |=================================================================== b . 10.49 |==================================================================== OpenSSL Algorithm: RSA4096 sign/s > Higher Is Better a . 2313.4 |================================================================== b . 2347.5 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 433.79 |=================================================================== b . 427.64 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.85 |===================================================================== b . 7.74 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.60 |===================================================================== b . 8.48 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 17866.42 |================================================================ b . 18113.58 |================================================================= QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 295.57 |================================================================== b . 299.57 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 917.86 |================================================================== b . 930.21 |=================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.794465 |================================================================= b . 0.783942 |================================================================ OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 53768 |==================================================================== b . 53059 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1558.12 |================================================================= b . 1578.57 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.12149 |================================================================== b . 5.05725 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.29832 |================================================================== b . 1.28216 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.98 |==================================================================== b . 18.75 |=================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.87555 |================================================================= b . 1.89840 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 5.07 |===================================================================== b . 5.01 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 7.63 |==================================================================== b . 7.72 |===================================================================== DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better a . 8337 |==================================================================== b . 8435 |===================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better a . 2462 |==================================================================== b . 2490 |===================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 10.56 |=================================================================== b . 10.66 |==================================================================== DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better a . 2400 |===================================================================== b . 2378 |==================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.09576 |================================================================== b . 1.08591 |================================================================= Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 12.89 |==================================================================== b . 12.78 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 12746 |==================================================================== b . 12641 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 63862 |==================================================================== b . 63340 |=================================================================== DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better a . 3091 |===================================================================== b . 3066 |==================================================================== OpenSSL Algorithm: RSA4096 verify/s > Higher Is Better a . 144506.4 |================================================================= b . 145624.9 |================================================================= OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 107954 |=================================================================== b . 107129 |================================================================== Java SciMark 2.2 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better a . 3752.63 |================================================================== b . 3725.33 |================================================================== Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 204.13 |=================================================================== b . 202.66 |=================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.07042 |================================================================== b . 6.02677 |================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better a . 6910 |===================================================================== b . 6862 |===================================================================== Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 158.94 |=================================================================== b . 157.87 |=================================================================== DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better a . 3505 |===================================================================== b . 3483 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 54713 |==================================================================== b . 54370 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.05 |===================================================================== b . 8.10 |===================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 494.40 |=================================================================== b . 491.35 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 127.93 |=================================================================== b . 128.72 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1615.28 |================================================================== b . 1625.24 |================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 126315 |=================================================================== b . 125547 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 227.52 |=================================================================== b . 228.90 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 3172 |===================================================================== b . 3191 |===================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3058.74 |================================================================== b . 3077.02 |================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 15397 |==================================================================== b . 15488 |==================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 34.95 |==================================================================== b . 34.75 |==================================================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 114.99 |=================================================================== b . 115.65 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 424859 |=================================================================== b . 422463 |=================================================================== Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better a . 17080.33 |================================================================= b . 16985.14 |================================================================= Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better a . 61.17 |==================================================================== b . 60.84 |==================================================================== Java SciMark 2.2 Computational Test: Composite Mflops > Higher Is Better a . 5135.96 |================================================================== b . 5109.69 |================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 176.35 |=================================================================== b . 175.49 |=================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.40590 |================================================================== b . 5.37975 |================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 3791 |===================================================================== b . 3809 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better a . 6742 |===================================================================== b . 6774 |===================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 225 |====================================================================== b . 226 |====================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 37.48 |==================================================================== b . 37.64 |==================================================================== Blender 4.0 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 396.96 |=================================================================== b . 395.28 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 249995 |=================================================================== b . 248988 |=================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 4.76162 |================================================================== b . 4.74319 |================================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better a . 4072708310 |=============================================================== b . 4088475860 |=============================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3306.75 |================================================================== b . 3319.24 |================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 37.59 |==================================================================== b . 37.73 |==================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.81056 |================================================================== b . 1.80401 |================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.65 |==================================================================== b . 10.62 |==================================================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 219.10 |=================================================================== b . 218.33 |=================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 106.57 |=================================================================== b . 106.20 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 256.93 |=================================================================== b . 257.76 |=================================================================== Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 513.77 |=================================================================== b . 515.40 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 168.96 |=================================================================== b . 169.49 |=================================================================== Java SciMark 2.2 Computational Test: Monte Carlo Mflops > Higher Is Better a . 2188.52 |================================================================== b . 2195.23 |================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 106.26 |=================================================================== b . 105.94 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 114.10 |=================================================================== b . 114.44 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 48.64 |==================================================================== b . 48.50 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 34.99 |==================================================================== b . 34.89 |==================================================================== OpenSSL Algorithm: AES-256-GCM byte/s > Higher Is Better a . 34327261460 |============================================================== b . 34230331530 |============================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 15.51 |==================================================================== b . 15.47 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 23.60 |==================================================================== b . 23.54 |==================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1697.11 |================================================================== b . 1692.88 |================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 59.02 |==================================================================== b . 58.88 |==================================================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 333.03 |=================================================================== b . 332.25 |=================================================================== OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 706.71 |=================================================================== b . 705.13 |=================================================================== Blender 4.0 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 1510.59 |================================================================== b . 1507.26 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 3238 |===================================================================== b . 3231 |===================================================================== OpenSSL Algorithm: ChaCha20 byte/s > Higher Is Better a . 47856082400 |============================================================== b . 47956168430 |============================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 417079 |=================================================================== b . 416216 |=================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3.07089 |================================================================== b . 3.07687 |================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 15.94 |==================================================================== b . 15.91 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 208985 |=================================================================== b . 208598 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3307.34 |================================================================== b . 3313.06 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 212340 |=================================================================== b . 212704 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 4523.32 |================================================================== b . 4530.51 |================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 48.56 |==================================================================== b . 48.48 |==================================================================== Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better a . 2346.62 |================================================================== b . 2350.22 |================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 58.81 |==================================================================== b . 58.90 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 12422 |==================================================================== b . 12406 |==================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 24.62 |==================================================================== b . 24.59 |==================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 117.44 |=================================================================== b . 117.30 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1604.04 |================================================================== b . 1602.16 |================================================================== OpenSSL Algorithm: AES-128-GCM byte/s > Higher Is Better a . 37097670790 |============================================================== b . 37140673330 |============================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 496925 |=================================================================== b . 497491 |=================================================================== OpenSSL Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 33758856530 |============================================================== b . 33795693500 |============================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 1370.30 |================================================================== b . 1371.79 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better a . 2837 |===================================================================== b . 2834 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 105603 |=================================================================== b . 105679 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 269.85 |=================================================================== b . 270.04 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 230.92 |=================================================================== b . 230.76 |=================================================================== OpenSSL Algorithm: SHA256 byte/s > Higher Is Better a . 12240732080 |============================================================== b . 12232475160 |============================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 697.86 |=================================================================== b . 698.26 |=================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.20284 |================================================================== b . 5.20140 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 45.72 |==================================================================== b . 45.71 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 1211.88 |================================================================== b . 1211.63 |================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 8.591 |==================================================================== b . 8.592 |==================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 89 |======================================================================= b . 89 |======================================================================= Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.16 |===================================================================== b . 0.16 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.33 |===================================================================== b . 0.33 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.33 |===================================================================== b . 0.33 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.01 |===================================================================== b . 0.01 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.06 |===================================================================== b . 0.06 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.13 |===================================================================== b . 0.13 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better OpenRadioss 2023.09.15 Model: Ford Taurus 10M Seconds < Lower Is Better