eee 2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite. b: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 6.1.0-phx (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.13, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080 bb: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 6.1.0-phx (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.13, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080 a: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 6.1.0-phx (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.13, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080 OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better b .. 9102032020 |============================================================= bb . 9206384930 |============================================================== a .. 9173311330 |============================================================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better b .. 10167598450 |============================================================= bb . 10193373610 |============================================================= a .. 10145725330 |============================================================= OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better b .. 150074005090 |============================================================ bb . 150059242840 |============================================================ a .. 150176760350 |============================================================ OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better b .. 159781972650 |============================================================ bb . 159160934620 |============================================================ a .. 159151287770 |============================================================ OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better b .. 118596420950 |============================================================ bb . 118499993460 |============================================================ a .. 118250262800 |============================================================ OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better b .. 80512557330 |============================================================= bb . 80513755000 |============================================================= a .. 80516466550 |============================================================= FFmpeg 6.0 Encoder: libx264 - Scenario: Live FPS > Higher Is Better b .. 153.96 |================================================================== bb . 153.82 |================================================================== a .. 152.11 |================================================================= FFmpeg 6.0 Encoder: libx265 - Scenario: Live FPS > Higher Is Better b .. 43.62 |=================================================================== bb . 40.56 |============================================================== a .. 40.28 |============================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better b .. 10.42 |=================================================================== bb . 10.47 |=================================================================== a .. 10.44 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better b .. 10.58 |================================================================== bb . 10.70 |=================================================================== a .. 10.64 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better b .. 38.07 |=================================================================== bb . 38.21 |=================================================================== a .. 38.19 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better b .. 20.52 |=================================================================== bb . 20.50 |=================================================================== a .. 20.45 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better b .. 38.16 |=================================================================== bb . 38.28 |=================================================================== a .. 38.03 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better b .. 20.61 |=================================================================== bb . 20.68 |=================================================================== a .. 20.66 |=================================================================== Embree 4.0.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better b .. 28.49 |================================================================== bb . 28.75 |=================================================================== a .. 28.64 |=================================================================== Embree 4.0.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better b .. 29.50 |=================================================================== bb . 29.54 |=================================================================== a .. 29.71 |=================================================================== Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better b .. 33.18 |=================================================================== bb . 33.17 |=================================================================== a .. 33.03 |=================================================================== Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better b .. 29.44 |=================================================================== bb . 29.49 |=================================================================== a .. 29.60 |=================================================================== Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better b .. 37.71 |=================================================================== bb . 37.72 |=================================================================== a .. 37.88 |=================================================================== Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better b .. 32.56 |=================================================================== bb . 32.44 |=================================================================== a .. 32.50 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b .. 2.608 |================================================================== bb . 2.647 |=================================================================== a .. 2.550 |================================================================= SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b .. 36.23 |=================================================================== bb . 35.89 |================================================================== a .. 36.41 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b .. 117.74 |================================================================== bb . 117.56 |================================================================== a .. 110.28 |============================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b .. 111.15 |================================================================== bb . 110.29 |================================================================= a .. 110.64 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better b .. 6.344 |=================================================================== bb . 6.222 |================================================================== a .. 6.223 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better b .. 86.95 |=================================================================== bb . 86.48 |=================================================================== a .. 85.66 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better b .. 235.27 |================================================================== bb . 228.89 |================================================================ a .. 232.25 |================================================================= SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better b .. 201.73 |================================================================== bb . 201.44 |================================================================== a .. 200.80 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better b .. 7.95 |==================================================================== bb . 7.91 |==================================================================== a .. 7.91 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better b .. 8.82 |==================================================================== bb . 8.85 |==================================================================== a .. 8.83 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better b .. 18.45 |=================================================================== bb . 18.47 |=================================================================== a .. 18.30 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better b .. 20.05 |================================================================== bb . 20.22 |=================================================================== a .. 20.04 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better b .. 18.11 |=================================================================== bb . 18.14 |=================================================================== a .. 18.07 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better b .. 20.33 |=================================================================== bb . 20.07 |================================================================== a .. 20.29 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better b .. 21.48 |================================================================== bb . 21.62 |================================================================== a .. 21.80 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better b .. 42.62 |=================================================================== bb . 42.32 |================================================================== a .. 42.93 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better b .. 45.10 |=================================================================== bb . 45.23 |=================================================================== a .. 44.64 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better b .. 48.24 |=================================================================== bb . 48.40 |=================================================================== a .. 48.17 |=================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better b .. 3.579 |================================================================== bb . 3.634 |=================================================================== a .. 3.657 |=================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better b .. 6.026 |=================================================================== bb . 5.970 |================================================================== a .. 5.991 |=================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better b .. 9.641 |================================================================== bb . 9.746 |=================================================================== a .. 9.605 |================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better b .. 16.90 |=================================================================== bb . 16.68 |================================================================== a .. 16.73 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better b .. 84.48 |=================================================================== bb . 82.22 |================================================================= a .. 83.20 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better b .. 109.74 |================================================================== bb . 109.07 |================================================================== a .. 109.53 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better b .. 146.48 |================================================================== bb . 145.41 |================================================================= a .. 146.93 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better b .. 212.50 |================================================================== bb . 213.32 |================================================================== a .. 212.65 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better b .. 227.85 |================================================================== bb . 227.00 |================================================================== a .. 227.16 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better b .. 50.96 |=================================================================== bb . 51.15 |=================================================================== a .. 50.71 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better b .. 15.10 |=================================================================== bb . 15.09 |=================================================================== a .. 15.11 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better b .. 64.04 |=================================================================== bb . 63.78 |=================================================================== a .. 43.32 |============================================= TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better b .. 18.31 |=================================================================== bb . 18.30 |=================================================================== a .. 18.25 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better b .. 77.64 |=================================================================== bb . 77.79 |=================================================================== a .. 77.76 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better b .. 22.27 |=================================================================== bb . 22.35 |=================================================================== a .. 22.20 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better b .. 104.62 |================================================================== bb . 104.20 |================================================================== a .. 103.29 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better bb . 29.43 |=================================================================== a .. 29.63 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better bb . 109.27 |================================================================== a .. 109.76 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better bb . 30.95 |=================================================================== a .. 31.10 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 18.71 |=================================================================== a .. 18.38 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 8.6642 |================================================================== a .. 8.6827 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 394.45 |================================================================= a .. 403.05 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 112.23 |================================================================== a .. 112.54 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 99.75 |=================================================================== a .. 99.49 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 42.27 |================================================================== a .. 42.65 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 139.50 |================================================================== a .. 139.56 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 54.33 |=================================================================== a .. 54.33 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 352.04 |================================================================== a .. 351.83 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 109.45 |================================================================ a .. 112.51 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 179.57 |================================================================== a .. 178.92 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 66.09 |=================================================================== a .. 65.38 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 40.86 |=================================================================== a .. 40.33 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 19.72 |=================================================================== a .. 19.56 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 91.35 |=================================================================== a .. 91.41 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 34.93 |=================================================================== a .. 34.71 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better bb . 18.71 |=================================================================== a .. 18.42 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better bb . 8.6925 |================================================================== a .. 8.6680 |================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed MB/s > Higher Is Better b .. 1640.6 |================================================================= bb . 1584.1 |=============================================================== a .. 1664.3 |================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better b .. 1095.1 |================================================================== bb . 1095.8 |================================================================== a .. 1102.7 |================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed MB/s > Higher Is Better b .. 545.9 |=============================================================== bb . 572.3 |================================================================== a .. 579.4 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better b .. 1093.7 |================================================================== bb . 1097.6 |================================================================== a .. 1093.3 |================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed MB/s > Higher Is Better b .. 153.9 |=================================================================== bb . 151.4 |================================================================== a .. 146.2 |================================================================ Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better b .. 996.4 |=================================================================== bb . 996.5 |=================================================================== a .. 987.6 |================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed MB/s > Higher Is Better b .. 12.8 |=================================================================== bb . 12.9 |==================================================================== a .. 12.8 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better b .. 846.7 |=================================================================== bb . 849.0 |=================================================================== a .. 840.6 |================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better b .. 283.0 |========================================================== bb . 310.5 |================================================================ a .. 325.9 |=================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better b .. 1144.5 |================================================================== bb . 1140.2 |================================================================== a .. 1137.0 |================================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better b .. 289.9 |=================================================================== bb . 279.4 |================================================================= a .. 282.7 |================================================================= Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better b .. 1097.9 |================================================================== bb . 1100.7 |================================================================== a .. 1105.7 |================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better b .. 6.45 |================================================================= bb . 6.79 |==================================================================== a .. 6.71 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better b .. 833.2 |=================================================================== bb . 834.2 |=================================================================== a .. 826.0 |================================================================== RocksDB 8.0 Test: Random Fill Op/s > Higher Is Better bb . 243680 |================================================================ a .. 251487 |================================================================== RocksDB 8.0 Test: Random Read Op/s > Higher Is Better bb . 114830146 |=============================================================== a .. 115209715 |=============================================================== RocksDB 8.0 Test: Update Random Op/s > Higher Is Better bb . 228703 |================================================================= a .. 233375 |================================================================== RocksDB 8.0 Test: Sequential Fill Op/s > Higher Is Better bb . 249987 |================================================================ a .. 259650 |================================================================== RocksDB 8.0 Test: Random Fill Sync Op/s > Higher Is Better bb . 7527 |==================================================================== a .. 6971 |=============================================================== RocksDB 8.0 Test: Read While Writing Op/s > Higher Is Better bb . 4875480 |================================================================= a .. 4910200 |================================================================= RocksDB 8.0 Test: Read Random Write Random Op/s > Higher Is Better bb . 2251517 |================================================================= a .. 2228918 |================================================================ Memcached 1.6.19 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better b .. 1672007.69 |==================================================== bb . 1937351.98 |============================================================ a .. 2007905.01 |============================================================== Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better b .. 1478446.78 |===================================================== bb . 1700246.18 |============================================================= a .. 1719545.48 |============================================================== Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better b .. 1550585.25 |============================================================= bb . 1587757.54 |============================================================== a .. 1290869.25 |================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better b .. 157.77 |================================================================ bb . 154.30 |============================================================== a .. 163.13 |================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better b .. 211.36 |================================================================== bb . 200.24 |=============================================================== a .. 205.05 |================================================================ ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better b .. 210.46 |================================================================== bb . 211.12 |================================================================== a .. 206.05 |================================================================ John The Ripper 2023.03.14 Test: bcrypt Real C/S > Higher Is Better b .. 48864 |=================================================================== bb . 48912 |=================================================================== a .. 48821 |=================================================================== John The Ripper 2023.03.14 Test: WPA PSK Real C/S > Higher Is Better b .. 213811 |================================================================== bb . 214200 |================================================================== a .. 212818 |================================================================== John The Ripper 2023.03.14 Test: Blowfish Real C/S > Higher Is Better b .. 48405 |=================================================================== bb . 48562 |=================================================================== a .. 48756 |=================================================================== John The Ripper 2023.03.14 Test: HMAC-SHA512 Real C/S > Higher Is Better b .. 91970000 |============================================================ bb . 98271000 |================================================================ a .. 91245000 |=========================================================== John The Ripper 2023.03.14 Test: MD5 Real C/S > Higher Is Better b .. 4719000 |================================================================= bb . 4712000 |================================================================= a .. 4691000 |================================================================= nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better bb . 151733.73 |=============================================================== a .. 152180.63 |=============================================================== nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better bb . 149820.05 |=============================================================== a .. 147630.66 |============================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better bb . 143874.15 |=============================================================== a .. 141761.59 |============================================================== nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better bb . 139997.58 |=============================================================== a .. 139200.66 |=============================================================== Apache HTTP Server 2.4.56 Concurrent Requests: 100 Requests Per Second > Higher Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 200 Requests Per Second > Higher Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 500 Requests Per Second > Higher Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Requests Per Second > Higher Is Better OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better b .. 8026.7 |================================================================= bb . 8109.8 |================================================================== a .. 8029.4 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Only TPS > Higher Is Better b .. 1052848 |================================================================ bb . 1067954 |================================================================= a .. 1068707 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Write TPS > Higher Is Better b .. 811 |===================================================================== bb . 808 |===================================================================== a .. 809 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only TPS > Higher Is Better b .. 991262 |================================================================== bb . 993660 |================================================================== a .. 994655 |================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write TPS > Higher Is Better b .. 3610 |============================================================== bb . 3031 |==================================================== a .. 3946 |==================================================================== OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better b .. 536533.8 |================================================================ bb . 534630.5 |================================================================ a .. 534883.8 |================================================================ oneDNN 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 1.71780 |================================================================ bb . 1.73257 |================================================================= a .. 1.73354 |================================================================= oneDNN 3.1 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 3.09364 |========================================================== bb . 3.17173 |============================================================ a .. 3.45599 |================================================================= oneDNN 3.1 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 1.74816 |================================================================= bb . 1.69336 |=============================================================== a .. 1.63878 |============================================================= oneDNN 3.1 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 1.28042 |================================================================ bb . 1.28253 |================================================================ a .. 1.29978 |================================================================= oneDNN 3.1 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 5.68728 |================================================================= bb . 5.68651 |================================================================= a .. 5.69353 |================================================================= oneDNN 3.1 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 4.30617 |================================================================= bb . 3.33073 |================================================== a .. 4.05730 |============================================================= oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 4.78799 |================================================================= bb . 4.77498 |================================================================= a .. 3.52970 |================================================ oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 14.80 |=================================================================== bb . 14.65 |================================================================== a .. 14.75 |=================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 2.73821 |================================================================= bb . 2.73830 |================================================================= a .. 2.74347 |================================================================= oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 4.90144 |================================================================= bb . 4.35862 |========================================================== a .. 4.39463 |========================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 0.562744 |================================================================ bb . 0.562273 |================================================================ a .. 0.563515 |================================================================ oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 0.688332 |=============================================================== bb . 0.691037 |================================================================ a .. 0.693934 |================================================================ oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 1386.62 |================================================================= bb . 1374.19 |================================================================ a .. 1384.14 |================================================================= oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better b .. 788.65 |================================================================== bb . 789.00 |================================================================== a .. 786.00 |================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 1385.41 |================================================================= bb . 1377.45 |================================================================= a .. 1379.97 |================================================================= oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 6.35868 |================================================================= bb . 6.35249 |================================================================= a .. 6.35319 |================================================================= oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 8.68912 |================================================================= bb . 8.67211 |================================================================= a .. 8.67071 |================================================================= oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 9.51019 |================================================================= bb . 9.51252 |================================================================= a .. 9.56667 |================================================================= oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better b .. 785.39 |================================================================== bb . 787.69 |================================================================== a .. 788.80 |================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 1381.33 |================================================================= bb . 1380.03 |================================================================= a .. 1374.37 |================================================================= oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b .. 797.59 |================================================================== bb . 789.81 |================================================================= a .. 786.92 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better b .. 0.047 |=================================================================== bb . 0.047 |=================================================================== a .. 0.047 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better b .. 61.66 |=================================================================== bb . 61.91 |=================================================================== a .. 61.84 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better b .. 0.05 |==================================================================== bb . 0.05 |==================================================================== a .. 0.05 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better b .. 13.85 |======================================================== bb . 16.50 |=================================================================== a .. 12.67 |=================================================== Google Draco 1.5.6 Model: Lion ms < Lower Is Better bb . 6713 |==================================================================== a .. 6694 |==================================================================== Google Draco 1.5.6 Model: Church Facade ms < Lower Is Better bb . 9381 |==================================================================== a .. 9410 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 961.13 |================================================================= a .. 977.29 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 115.41 |================================================================== a .. 115.16 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 45.59 |=================================================================== a .. 44.62 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 8.8977 |================================================================== a .. 8.8732 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 180.28 |================================================================== a .. 180.72 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 23.64 |=================================================================== a .. 23.43 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 128.81 |================================================================== a .. 128.78 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 18.39 |=================================================================== a .. 18.39 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 51.09 |=================================================================== a .. 51.11 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 9.1226 |================================================================== a .. 8.8739 |================================================================ Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 100.15 |================================================================== a .. 100.52 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 15.12 |================================================================== a .. 15.28 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 440.41 |================================================================= a .. 446.17 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 50.70 |================================================================== a .. 51.11 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 196.74 |================================================================== a .. 196.56 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 28.62 |=================================================================== a .. 28.79 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better bb . 961.97 |================================================================== a .. 965.21 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better bb . 115.03 |================================================================== a .. 115.35 |================================================================== SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better b .. 24.13 |================================================================== bb . 24.64 |=================================================================== a .. 24.15 |================================================================== SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better b .. 64.46 |=================================================================== bb . 64.48 |=================================================================== a .. 63.68 |================================================================== SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better b .. 25.27 |=================================================================== bb . 25.01 |================================================================== a .. 25.35 |=================================================================== SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better b .. 31.09 |================================================================== bb . 31.07 |================================================================== a .. 31.38 |=================================================================== SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better b .. 61.37 |=================================================================== bb . 60.51 |================================================================== a .. 60.24 |================================================================== Timed FFmpeg Compilation 6.0 Time To Compile Seconds < Lower Is Better b .. 33.27 |=================================================================== bb . 33.18 |================================================================== a .. 33.48 |=================================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better b .. 234.22 |================================================================== bb . 232.02 |================================================================= a .. 232.64 |================================================================== Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better b .. 339.91 |================================================================= bb . 338.89 |================================================================= a .. 343.24 |================================================================== Timed LLVM Compilation 16.0 Build System: Unix Makefiles Seconds < Lower Is Better b .. 439.28 |================================================================== bb . 419.85 |=============================================================== a .. 439.12 |================================================================== Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better b .. 309.31 |================================================================== bb . 309.09 |================================================================== a .. 309.57 |================================================================== Build2 0.15 Time To Compile Seconds < Lower Is Better b .. 99.15 |================================================================= bb . 100.75 |================================================================== a .. 100.27 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better b .. 32.80 |================================================================== bb . 32.83 |================================================================== a .. 33.20 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better b .. 115.77 |============================================================= bb . 124.51 |================================================================== a .. 125.37 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better b .. 242.24 |================================================================== bb . 241.13 |================================================================== a .. 241.76 |================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better b .. 238.65 |================================================================== bb . 235.94 |================================================================= a .. 237.24 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better b .. 198.96 |================================================================== bb . 198.27 |================================================================== a .. 198.35 |================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better b .. 369.22 |================================================================== bb . 369.54 |================================================================== a .. 370.34 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better b .. 198.50 |================================================================== bb . 197.90 |================================================================== a .. 199.18 |================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better b .. 367.61 |================================================================== bb . 366.29 |================================================================== a .. 366.57 |================================================================== Blender 3.5 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better bb . 55.76 |=================================================================== a .. 56.07 |=================================================================== Blender 3.5 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better bb . 159.27 |================================================================== a .. 159.56 |================================================================== Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better bb . 74.63 |=================================================================== a .. 74.47 |=================================================================== Blender 3.5 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better bb . 580.85 |================================================================== a .. 579.52 |================================================================== Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better bb . 192.11 |================================================================== a .. 191.67 |==================================================================