zen 1 epyc 2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 512GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: Matrox G200eW3, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1600x1200 b: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 512GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: Matrox G200eW3, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1600x1200 AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better a . 1245 |===================================================================== b . 1232 |==================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better a . 764 |====================================================================== b . 760 |====================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better a . 2009 |===================================================================== b . 1992 |==================================================================== Aircrack-ng 1.7 k/s > Higher Is Better a . 76103.37 |================================================================= b . 74378.89 |================================================================ AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.21 |===================================================================== b . 0.21 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.59 |===================================================================== b . 5.56 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 16.41 |==================================================================== b . 15.89 |================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 8.95 |===================================================================== b . 8.71 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 18.51 |==================================================================== b . 17.14 |=============================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 21.01 |=================================================================== b . 21.39 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 21.95 |==================================================================== b . 21.83 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.60 |===================================================================== b . 0.59 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 11.06 |==================================================================== b . 10.84 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 33.12 |=================================================================== b . 33.44 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 24.96 |==================================================================== b . 24.36 |================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 41.79 |==================================================================== b . 38.47 |=============================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 48.34 |==================================================================== b . 42.57 |============================================================ AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 45.43 |==================================================================== b . 42.01 |=============================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better a . 382.01 |=================================================================== b . 376.39 |================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better a . 151.81 |=================================================================== b . 152.24 |=================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better a . 19.42 |==================================================================== b . 19.44 |==================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better a . 2.2087 |=================================================================== b . 2.2093 |=================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 35.50 |==================================================================== b . 35.62 |==================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 87.25 |==================================================================== b . 87.77 |==================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 51.46 |==================================================================== b . 51.66 |==================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 409.74 |=================================================================== b . 408.93 |=================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 126.81 |=================================================================== b . 126.75 |=================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 413004 |=================================================================== b . 406201 |================================================================== C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better a . 8493.2 |=================================================================== b . 8534.5 |=================================================================== C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better a . 5328.2 |=================================================================== b . 5318.7 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 241.18 |================================================================ b . 253.55 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 260.83 |================================================================ b . 271.13 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 272.09 |=================================================================== b . 256.64 |=============================================================== Cpuminer-Opt 3.20.3 Algorithm: Magi kH/s > Higher Is Better a . 1711.45 |================================================================== b . 1702.45 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: x25x kH/s > Higher Is Better a . 1458.5 |=================================================================== b . 1452.6 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: scrypt kH/s > Higher Is Better a . 496.52 |=================================================================== b . 499.97 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Deepcoin kH/s > Higher Is Better a . 27510 |==================================================================== b . 27490 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Ringcoin kH/s > Higher Is Better a . 18480 |==================================================================== b . 18440 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S kH/s > Higher Is Better a . 1098730 |================================================================== b . 1098280 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Garlicoin kH/s > Higher Is Better a . 13970 |================================================================= b . 14530 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Skeincoin kH/s > Higher Is Better a . 222070 |=================================================================== b . 222040 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 154070 |=================================================================== b . 152420 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 56960 |==================================================================== b . 56960 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 374460 |=================================================================== b . 374430 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 718010 |=================================================================== b . 718140 |=================================================================== EnCodec 0.1.1 Target Bandwidth: 3 kbps Seconds < Lower Is Better a . 66.47 |================================================================== b . 68.29 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 6 kbps Seconds < Lower Is Better a . 74.54 |==================================================================== b . 74.89 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 24 kbps Seconds < Lower Is Better a . 78.46 |================================================================== b . 81.17 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 1.5 kbps Seconds < Lower Is Better a . 67.59 |============================================================= b . 75.04 |==================================================================== Facebook RocksDB 7.5.3 Test: Random Read Op/s > Higher Is Better a . 198794977 |================================================================ b . 196826975 |=============================================================== Facebook RocksDB 7.5.3 Test: Update Random Op/s > Higher Is Better a . 199394 |=================================================================== b . 198198 |=================================================================== Facebook RocksDB 7.5.3 Test: Read While Writing Op/s > Higher Is Better a . 5807440 |============================================================== b . 6220606 |================================================================== Facebook RocksDB 7.5.3 Test: Read Random Write Random Op/s > Higher Is Better a . 1551427 |================================================================== b . 1558868 |================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 38.85 |==================================================================== b . 38.76 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 129.99 |=================================================================== b . 130.30 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 86.74 |=================================================================== b . 88.58 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 58.22 |==================================================================== b . 57.01 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 314.58 |=================================================================== b . 315.29 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 8.03 |===================================================================== b . 8.01 |===================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 241.65 |=================================================================== b . 240.52 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 10.45 |==================================================================== b . 10.50 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 249.01 |================================================================== b . 250.99 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 30.42 |==================================================================== b . 30.18 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 356.59 |=================================================================== b . 356.16 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 21.24 |==================================================================== b . 21.27 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 250.83 |=================================================================== b . 250.37 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 30.20 |==================================================================== b . 30.25 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 357.15 |=================================================================== b . 358.61 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 21.21 |==================================================================== b . 21.12 |==================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better a . 28.87 |==================================================================== b . 28.74 |==================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better a . 1243 |===================================================================== b . 1247 |===================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better a . 443 |===================================================================== b . 448 |====================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better a . 561 |====================================================================== b . 555 |===================================================================== GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better a . 743 |====================================================================== b . 740 |====================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better a . 167 |====================================================================== b . 135 |========================================================= GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better a . 692 |====================================================================== b . 619 |=============================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better a . 1107 |===================================================================== b . 957 |============================================================ JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better a . 26.86 |==================================================================== b . 27.01 |==================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better a . 151.09 |=================================================================== b . 151.66 |=================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 6.37 |===================================================================== b . 6.38 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 6.27 |===================================================================== b . 6.29 |===================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 6.10 |===================================================================== b . 6.06 |===================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 5.91 |===================================================================== b . 5.94 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 0.4 |====================================================================== b . 0.4 |====================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 0.4 |====================================================================== b . 0.4 |====================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better a . 24.03 |==================================================================== b . 23.03 |================================================================= LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better a . 24.10 |==================================================================== b . 24.07 |==================================================================== libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better a . 136.61 |=================================================================== b . 136.59 |=================================================================== libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better a . 78.90 |==================================================================== b . 79.11 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better a . 5.268 |==================================================================== b . 5.268 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 9.994 |================================================================== b . 10.085 |=================================================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 7.613 |==================================================================== b . 7.653 |==================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better a . 696.80 |=================================================================== b . 687.88 |================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better a . 27.87 |==================================================================== b . 27.52 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better a . 753.17 |=================================================================== b . 742.30 |================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better a . 30.13 |==================================================================== b . 29.69 |=================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better a . 42.87 |==================================================================== b . 40.34 |================================================================ Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better a . 5.475 |==================================================================== b . 5.350 |================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better a . 10.63 |==================================================================== b . 10.15 |================================================================= Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better a . 50.82 |==================================================================== b . 47.12 |=============================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better a . 15.68 |==================================================================== b . 15.01 |================================================================= Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better a . 9.862 |=================================================================== b . 9.957 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 7.677 |==================================================================== b . 7.386 |================================================================= Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better a . 56.23 |==================================================================== b . 56.10 |==================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better a . 3.5 |==================================================================== b . 3.6 |====================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better a . 70.65 |========================================================== b . 82.64 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 74.59 |==================================================================== b . 48.21 |============================================ NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 45.30 |===================================================== b . 58.67 |==================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 64.00 |==================================================================== b . 43.74 |============================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better a . 51.66 |==================================================================== b . 41.96 |======================================================= NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 55.09 |================================================================== b . 56.92 |==================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better a . 42.63 |==================================================================== b . 31.18 |================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better a . 111.20 |=================================================================== b . 100.95 |============================================================= NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better a . 139.33 |=================================================================== b . 123.73 |=========================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better a . 81.24 |==================================================================== b . 63.20 |===================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better a . 65.60 |==================================================================== b . 53.71 |======================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better a . 178.31 |=================================================================== b . 110.59 |========================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 75.13 |================================================================= b . 78.03 |==================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 100.38 |=================================================================== b . 94.37 |=============================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 286.78 |=================================================================== b . 208.14 |================================================= NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 319.23 |=================================================================== b . 298.72 |=============================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better a . 76.99 |==================================================================== b . 51.75 |============================================== nekRS 22.0 Input: TurboPipe Periodic FLOP/s > Higher Is Better a . 184723000000 |============================================================= b . 184827000000 |============================================================= Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 22.60 |==================================================================== b . 22.57 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 1387.09 |================================================================= b . 1398.93 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 8.3625 |=================================================================== b . 8.2919 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 119.56 |================================================================== b . 120.58 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 87.64 |==================================================================== b . 87.32 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 362.78 |=================================================================== b . 364.99 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 17.78 |=============================================================== b . 19.20 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 56.23 |==================================================================== b . 52.07 |=============================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 121.84 |=================================================================== b . 121.86 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 261.42 |=================================================================== b . 261.42 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 39.94 |==================================================================== b . 40.07 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 25.01 |==================================================================== b . 24.93 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 249.29 |=================================================================== b . 250.90 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 128.00 |=================================================================== b . 127.21 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 73.57 |==================================================================== b . 73.87 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 13.57 |==================================================================== b . 13.52 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 192.29 |=================================================================== b . 192.64 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 166.11 |=================================================================== b . 165.70 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 51.24 |=================================================================== b . 51.63 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 19.50 |==================================================================== b . 19.35 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 96.10 |==================================================================== b . 96.55 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 331.23 |=================================================================== b . 330.53 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 26.32 |==================================================================== b . 26.05 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 37.97 |=================================================================== b . 38.38 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 22.65 |==================================================================== b . 22.67 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 1387.30 |================================================================== b . 1390.61 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 8.1225 |================================================================== b . 8.2228 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 123.10 |=================================================================== b . 121.59 |================================================================== nginx 1.23.2 Connections: 1 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 20 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 100112.06 |=============================================================== b . 101709.29 |================================================================ nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 99535.87 |================================================================= b . 98639.62 |================================================================ nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 96265.52 |================================================================= b . 95346.38 |================================================================ nginx 1.23.2 Connections: 4000 Requests Per Second > Higher Is Better Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better a . 7.13 |===================================================================== b . 7.02 |==================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.12686 |================================================================== b . 5.03993 |================================================================= oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 20.14 |==================================================================== b . 20.28 |==================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4.23625 |================================================================== b . 3.81237 |=========================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4.52585 |================================================================= b . 4.58464 |================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 21.03 |==================================================================== b . 20.06 |================================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 19.20 |==================================================================== b . 19.18 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.0371 |=================================================================== b . 5.6399 |=============================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 28.77 |==================================================================== b . 28.79 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4.14024 |=========================================================== b . 4.63109 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.51501 |================================================================== b . 2.51294 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 7823.00 |============================================================= b . 8504.29 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5300.36 |================================================================== b . 5167.81 |================================================================ oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7893.57 |================================================================ b . 8148.11 |================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 5167.40 |================================================================== b . 5128.18 |================================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.48918 |================================================================== b . 7.74858 |====================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 8045.70 |================================================================== b . 8013.88 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5157.60 |================================================================= b . 5207.64 |================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 29.77 |==================================================================== b . 28.90 |================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 34.10 |==================================================================== b . 34.19 |==================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 61.45 |================================================================== b . 62.97 |==================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better a . 167.00 |=================================================================== b . 167.07 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better a . 541.95 |=================================================================== b . 542.45 |=================================================================== OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better a . 108.51 |=================================================================== b . 108.31 |=================================================================== OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 41.65 |==================================================================== b . 41.58 |==================================================================== OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 185.26 |================================================================== b . 186.71 |=================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 118.00 |=================================================================== b . 117.84 |=================================================================== OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 210.39 |=================================================================== b . 207.85 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 5.85 |===================================================================== b . 5.82 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 5452.5 |=================================================================== b . 5492.0 |=================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 3.90 |===================================================================== b . 3.89 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 8087.11 |================================================================= b . 8150.20 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 3.85 |==================================================================== b . 3.89 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 8245.26 |================================================================== b . 8119.63 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 352.62 |=================================================================== b . 351.60 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 90.64 |==================================================================== b . 90.91 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 7.61 |===================================================================== b . 7.61 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 4182.46 |================================================================== b . 4185.20 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 614.56 |=================================================================== b . 613.31 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 52.03 |==================================================================== b . 52.14 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 626.61 |=================================================================== b . 626.42 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 51.03 |==================================================================== b . 51.04 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 59.76 |================================================================== b . 61.27 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 533.65 |=================================================================== b . 520.79 |================================================================= OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 751.84 |=================================================================== b . 751.30 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 85.05 |==================================================================== b . 85.09 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 513.24 |=================================================================== b . 508.70 |================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 62.29 |=================================================================== b . 62.84 |==================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 16068.58 |================================================================= b . 16149.43 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 3.94 |===================================================================== b . 3.92 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 19469.80 |================================================================= b . 19580.12 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 3.26 |===================================================================== b . 3.24 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 4233 |===================================================================== b . 4239 |===================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 4416 |===================================================================== b . 4403 |===================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 5127 |===================================================================== b . 5130 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 78125 |==================================================================== b . 78264 |==================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 145358 |=================================================================== b . 145660 |=================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 80769 |==================================================================== b . 80340 |==================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 150980 |=================================================================== b . 151192 |=================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 91958 |=================================================================== b . 92675 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 173492 |=================================================================== b . 173590 |=================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 1062 |===================================================================== b . 1060 |===================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 1096 |===================================================================== b . 1100 |===================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better a . 1282 |===================================================================== b . 1277 |===================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 17188 |==================================================================== b . 17139 |==================================================================== OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 34160 |==================================================================== b . 34140 |==================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 17838 |==================================================================== b . 17792 |==================================================================== OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 35696 |==================================================================== b . 35397 |=================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better a . 20597 |==================================================================== b . 20517 |==================================================================== OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better a . 41292 |==================================================================== b . 41490 |==================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better a . 4.638 |==================================================================== b . 4.660 |==================================================================== Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better a . 56.03 |==================================================================== b . 56.25 |==================================================================== SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better a . 30087.23 |================================================================= b . 30062.54 |================================================================= SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better a . 20.51 |==================================================================== b . 20.51 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better a . 171.09 |=================================================================== b . 171.13 |=================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better a . 2294.23 |================================================================== b . 2294.16 |================================================================== SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better a . 17912.16 |================================================================= b . 17951.60 |================================================================= SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better a . 40.88 |==================================================================== b . 40.79 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better a . 8316.13 |================================================================== b . 8317.14 |================================================================== SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better a . 29.56 |==================================================================== b . 29.59 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better a . 19050.24 |================================================================= b . 19028.89 |================================================================= SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better a . 51.42 |==================================================================== b . 51.42 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better a . 18815.25 |================================================================= b . 18809.49 |================================================================= SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better a . 27.77 |==================================================================== b . 27.77 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better a . 32899.32 |================================================================= b . 32884.37 |================================================================= SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better a . 34.62 |==================================================================== b . 34.55 |==================================================================== SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better a . 77196.31 |================================================================= b . 76443.61 |================================================================ SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better a . 27.31 |==================================================================== b . 27.31 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better a . 41424.16 |================================================================= b . 41393.48 |================================================================= SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better a . 47.36 |==================================================================== b . 47.35 |==================================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better a . 6798 |===================================================================== b . 6795 |===================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better a . 701 |====================================================================== b . 685 |==================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better a . 65700000 |================================================================= b . 66100000 |================================================================= srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better a . 252.8 |==================================================================== b . 252.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better a . 86.2 |===================================================================== b . 85.9 |===================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 257.5 |==================================================================== b . 256.9 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 93.7 |===================================================================== b . 93.6 |===================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better a . 274.2 |==================================================================== b . 273.0 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better a . 92.0 |===================================================================== b . 91.5 |===================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better a . 279.8 |==================================================================== b . 279.4 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better a . 98.9 |===================================================================== b . 99.0 |===================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 69.7 |===================================================================== b . 69.7 |===================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 38.0 |===================================================================== b . 38.1 |===================================================================== Stress-NG 0.14.06 Test: MMAP Bogo Ops/s > Higher Is Better a . 2418.27 |================================================================== b . 2342.60 |================================================================ Stress-NG 0.14.06 Test: NUMA Bogo Ops/s > Higher Is Better a . 140.80 |=================================================================== b . 140.65 |=================================================================== Stress-NG 0.14.06 Test: Futex Bogo Ops/s > Higher Is Better a . 802471.30 |================================================================ b . 796565.52 |================================================================ Stress-NG 0.14.06 Test: MEMFD Bogo Ops/s > Higher Is Better a . 1751.42 |================================================================== b . 1743.95 |================================================================== Stress-NG 0.14.06 Test: Mutex Bogo Ops/s > Higher Is Better a . 17481256.34 |============================================================= b . 17702491.79 |============================================================== Stress-NG 0.14.06 Test: Atomic Bogo Ops/s > Higher Is Better a . 156802.93 |========================================================== b . 172559.20 |================================================================ Stress-NG 0.14.06 Test: Crypto Bogo Ops/s > Higher Is Better a . 67640.35 |================================================================= b . 67622.54 |================================================================= Stress-NG 0.14.06 Test: Malloc Bogo Ops/s > Higher Is Better a . 146984386.17 |============================================================= b . 148029623.74 |============================================================= Stress-NG 0.14.06 Test: Forking Bogo Ops/s > Higher Is Better a . 19768.12 |================================================================= b . 19540.99 |================================================================ Stress-NG 0.14.06 Test: IO_uring Bogo Ops/s > Higher Is Better a . 45731.60 |================================================================= b . 45863.96 |================================================================= Stress-NG 0.14.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 678380.72 |================================================================ b . 678714.22 |================================================================ Stress-NG 0.14.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 199.02 |=================================================== b . 259.54 |=================================================================== Stress-NG 0.14.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 106647.20 |================================================================ b . 107074.79 |================================================================ Stress-NG 0.14.06 Test: Semaphores Bogo Ops/s > Higher Is Better a . 7247266.69 |=============================================================== b . 7261328.18 |=============================================================== Stress-NG 0.14.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 215006.68 |================================================================ b . 215110.79 |================================================================ Stress-NG 0.14.06 Test: Vector Math Bogo Ops/s > Higher Is Better a . 266411.19 |================================================================ b . 266535.54 |================================================================ Stress-NG 0.14.06 Test: x86_64 RdRand Stress-NG 0.14.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 2328.14 |============================================================== b . 2485.61 |================================================================== Stress-NG 0.14.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 25316.76 |=============================================================== b . 25937.03 |================================================================= Stress-NG 0.14.06 Test: Context Switching Bogo Ops/s > Higher Is Better a . 14423511.17 |=========================================================== b . 15090386.73 |============================================================== Stress-NG 0.14.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 5250106.25 |============================================================= b . 5386266.71 |=============================================================== Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 673.06 |=================================================================== b . 667.40 |================================================================== Stress-NG 0.14.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 7616183.78 |=============================================================== b . 7408445.43 |============================================================= SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 1.314 |==================================================================== b . 1.321 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 27.82 |=================================================================== b . 28.06 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 46.68 |============================================================ b . 52.96 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 67.12 |================================================================== b . 69.48 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 3.531 |=================================================================== b . 3.561 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 76.28 |==================================================================== b . 76.73 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 161.41 |=================================================================== b . 159.55 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 209.49 |============================================================ b . 234.71 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 42.69 |==================================================================== b . 42.91 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 48.66 |==================================================================== b . 48.45 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 59.55 |==================================================================== b . 59.76 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 69.60 |==================================================================== b . 69.33 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 69.82 |==================================================================== b . 69.69 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 24.77 |==================================================================== b . 24.47 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 8.13 |===================================================================== b . 8.12 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 29.09 |==================================================================== b . 28.44 |================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 9.60 |==================================================================== b . 9.69 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 30.13 |==================================================================== b . 30.12 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 10.11 |==================================================================== b . 10.17 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 30.11 |==================================================================== b . 29.87 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 10.92 |==================================================================== b . 10.86 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 30.61 |==================================================================== b . 30.42 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better a . 11.24 |==================================================================== b . 11.32 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better a . 22.62 |==================================================================== b . 22.71 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better a . 399.66 |=================================================================== b . 400.37 |=================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better a . 124.07 |=================================================================== b . 124.22 |=================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better a . 217.33 |=================================================================== b . 215.92 |=================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better a . 62.12 |==================================================================== b . 62.18 |==================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better a . 73.78 |==================================================================== b . 73.49 |==================================================================== Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz Seconds < Lower Is Better a . 10.56 |=================================================================== b . 10.65 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better a . 12.25 |==================================================================== b . 12.23 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better a . 7.73 |===================================================================== b . 7.71 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better a . 1.06 |===================================================================== b . 1.05 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better a . 2.43 |===================================================================== b . 2.43 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better a . 0.41 |=================================================================== b . 0.42 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 5.77 |============================================================== b . 6.38 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.38 |===================================================================== b . 0.37 |=================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.20 |===================================================================== b . 0.20 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 7.42 |===================================================================== b . 7.35 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.04 |===================================================================== b . 0.04 |===================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 12797.7 |================================================================== b . 10914.9 |======================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 19243.7 |================================================================== b . 19140.2 |================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 21.58 |==================================================================== b . 21.56 |==================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 11.18 |==================================================================== b . 10.99 |===================================================================