3800xt novvy AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 11 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 3800XT 8-Core @ 5.58GHz (8 Cores / 16 Threads), Motherboard: MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211 OS: Debian 11, Kernel: 5.10.0-18-amd64 (x86_64), Display Server: X Server 1.20.11, Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 1.47 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 27.03 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.01 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 27.06 |==================================================================== OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 770.21 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 9.31 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 92.65 |==================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better a . 594.53 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 531.97 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 52.44 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better a . 2620.52 |================================================================== SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better a . 147.58 |=================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 0.54 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 0.55 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.06 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 9.45 |===================================================================== OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 353.31 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 92.05 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 27.73 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 273.18 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better a . 294.79 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 27.86 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 271.86 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 13.02 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 193.96 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 13.38 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 188.71 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 28.18 |==================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 4304.1 |=================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 222.29 |=================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.13 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 9.54 |===================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better a . 30.79 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 2.928 |==================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better a . 3.574 |==================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.383 |==================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better a . 24.61 |==================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better a . 3.763 |==================================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better a . 1.94 |===================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better a . 14.02 |==================================================================== OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better a . 172.63 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 49.56 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 152.85 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 49.57 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 152.81 |=================================================================== libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better a . 160.47 |=================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 148.39 |=================================================================== OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 139.62 |=================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 8.27 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 8.54 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.96 |===================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 7847.8 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 28.69 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 1.342819 |================================================================= JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 8.06 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 8.41 |===================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 1.472258 |================================================================= spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better a . 609 |====================================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better a . 12716 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.2 |====================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 68.39 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 73.84 |==================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better a . 93.35 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 78.27 |==================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3810.59 |================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 2.046351 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2537.53 |================================================================== libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better a . 75.38 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 2.202979 |================================================================= OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 4084.74 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 0.96 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 4095.86 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 0.96 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 10.26 |==================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better a . 11.35 |==================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better a . 283.63 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 3043.35 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.31 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 2127.27 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1.86 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 28.61 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 248.05 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 16.09 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 19.11 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 209.15 |=================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better a . 60.51 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 28.46 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 140.5 |==================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 26.47 |==================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 151.04 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 30.57 |==================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 130.78 |=================================================================== 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 . 151.29 |=================================================================== 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 . 26.44 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 26.98 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 296.31 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.08 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 7385.67 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.86 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 9248.01 |================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 2.79929 |================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 63.69 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 564.25 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 7.0844 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 13.28 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 566.19 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 7.0119 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 137.11 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 29.12 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Render Ratio > Higher Is Better a . 2.891894 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 2.944362 |================================================================= 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 . 50.93 |==================================================================== 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 . 19.63 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 3.012082 |================================================================= JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better a . 50.28 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 43.66 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 22.90 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 156.71 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 6.3808 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 156.66 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 6.383 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 206.00 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 24.52 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 45.54 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 100.22 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 39.87 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 69.20 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 57.74 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 47.36 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 84.41 |==================================================================== nekRS 22.0 Input: TurboPipe Periodic FLOP/s > Higher Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 21.97 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 45.50 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better a . 167.7 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better a . 415.1 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 28.42 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 35.17 |==================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better a . 145.7 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better a . 0.65 |===================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 14.71 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 67.92 |==================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better a . 129000000 |================================================================ AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.58 |===================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better a . 152 |====================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better a . 374.7 |==================================================================== Stress-NG 0.14.06 Test: MMAP Bogo Ops/s > Higher Is Better a . 56.21 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 15260 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S kH/s > Higher Is Better a . 387820 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Magi kH/s > Higher Is Better a . 453.73 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 22130 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Ringcoin kH/s > Higher Is Better a . 1977 |===================================================================== Stress-NG 0.14.06 Test: MEMFD Bogo Ops/s > Higher Is Better a . 111.59 |=================================================================== Stress-NG 0.14.06 Test: IO_uring Bogo Ops/s > Higher Is Better a . 2425.24 |================================================================== Stress-NG 0.14.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 111.46 |=================================================================== Stress-NG 0.14.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 1455676.32 |=============================================================== Stress-NG 0.14.06 Test: Context Switching Bogo Ops/s > Higher Is Better a . 4438399.45 |=============================================================== Stress-NG 0.14.06 Test: NUMA Bogo Ops/s > Higher Is Better a . 203.29 |=================================================================== Stress-NG 0.14.06 Test: Malloc Bogo Ops/s > Higher Is Better a . 8011676.86 |=============================================================== Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 71500 |==================================================================== Stress-NG 0.14.06 Test: Atomic Bogo Ops/s > Higher Is Better a . 595202.75 |================================================================ Stress-NG 0.14.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 6614424.84 |=============================================================== Stress-NG 0.14.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 2434.29 |================================================================== Stress-NG 0.14.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 36734.32 |================================================================= Stress-NG 0.14.06 Test: Crypto Bogo Ops/s > Higher Is Better a . 14984.02 |================================================================= Stress-NG 0.14.06 Test: Futex Bogo Ops/s > Higher Is Better a . 2837208.93 |=============================================================== Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 142.57 |=================================================================== Stress-NG 0.14.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 6260.81 |================================================================== Stress-NG 0.14.06 Test: Vector Math Bogo Ops/s > Higher Is Better a . 43065.71 |================================================================= Stress-NG 0.14.06 Test: Semaphores Bogo Ops/s > Higher Is Better a . 1676290.87 |=============================================================== Stress-NG 0.14.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 20114.25 |================================================================= Stress-NG 0.14.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 132180.08 |================================================================ Stress-NG 0.14.06 Test: Forking Bogo Ops/s > Higher Is Better a . 29554.2 |================================================================== Stress-NG 0.14.06 Test: Mutex Bogo Ops/s > Higher Is Better a . 4654633.97 |=============================================================== Cpuminer-Opt 3.20.3 Algorithm: Garlicoin kH/s > Higher Is Better a . 2310.19 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 142910 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: x25x kH/s > Higher Is Better a . 442.86 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Skeincoin kH/s > Higher Is Better a . 73600 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Deepcoin kH/s > Higher Is Better a . 8076.97 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: scrypt kH/s > Higher Is Better a . 157.19 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 22 |======================================================================= AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 34.35 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 62.6 |===================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 110.9 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.03 |==================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better a . 19.77 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better a . 174.7 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better a . 403.4 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 33.3 |===================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better a . 17.51 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 169.4 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 384.2 |==================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.33193 |================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 40.98 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better a . 1.73 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 47.13 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 48.39 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better a . 62.9 |===================================================================== SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better a . 15742.3 |================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 12.25 |==================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.87677 |================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better a . 55.61 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better a . 38668.41 |================================================================= SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better a . 49.65 |==================================================================== SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better a . 14874.42 |================================================================= oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.50047 |================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better a . 42.74 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better a . 26982.91 |================================================================= SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better a . 35.84 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better a . 6782.57 |================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better a . 7.875 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better a . 34.36 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better a . 16045.05 |================================================================= SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better a . 33.27 |==================================================================== SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better a . 66800.17 |================================================================= WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 3.51 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 92.43 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better a . 3.74 |===================================================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 6.359 |==================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 22.24 |==================================================================== SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better a . 25.34 |==================================================================== SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better a . 23470.35 |================================================================= AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 119.01 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 123.22 |=================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 7.06 |===================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.58612 |================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better a . 11.40 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better a . 18.00 |==================================================================== nginx 1.23.2 Connections: 1 Requests Per Second > Higher Is Better