AMD Ryzen 9 7900X Linux Tests for a future article. AMD Ryzen 9 7900X 12-Core testing with a ASRock X670E PG Lightning (1.11 BIOS) and XFX AMD Radeon RX 6400 4GB on Ubuntu 22.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads), Motherboard: ASRock X670E PG Lightning (1.11 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: XFX AMD Radeon RX 6400 4GB (2320/1000MHz), Audio: AMD Navi 21/23, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE OS: Ubuntu 22.10, Kernel: 5.19.0-23-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads), Motherboard: ASRock X670E PG Lightning (1.11 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: XFX AMD Radeon RX 6400 4GB (2320/1000MHz), Audio: AMD Navi 21/23, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE OS: Ubuntu 22.10, Kernel: 5.19.0-23-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better a . 23038.00 |================================================================= b . 22824.89 |================================================================ SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better a . 161.66 |=================================================================== b . 155.70 |================================================================= SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better a . 15384.04 |================================================================= b . 15317.97 |================================================================= SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better a . 6548.49 |================================================================== b . 6508.85 |================================================================== SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better a . 15702.24 |================================================================= b . 15674.60 |================================================================= SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better a . 14943.50 |================================================================= b . 14998.97 |================================================================= SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better a . 29550.62 |============================================================== b . 31036.72 |================================================================= SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better a . 75924.15 |================================================================= b . 76015.27 |================================================================= SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better a . 42374.80 |================================================================= b . 41856.36 |================================================================ Stress-NG 0.14.06 Test: MMAP Bogo Ops/s > Higher Is Better a . 288.78 |=================================================================== b . 290.15 |=================================================================== Stress-NG 0.14.06 Test: NUMA Bogo Ops/s > Higher Is Better a . 604.96 |=================================================================== b . 570.87 |=============================================================== Stress-NG 0.14.06 Test: Futex Bogo Ops/s > Higher Is Better a . 3968210.34 |=============================================================== b . 3648065.00 |========================================================== Stress-NG 0.14.06 Test: MEMFD Bogo Ops/s > Higher Is Better a . 1052.54 |================================================================== b . 1052.36 |================================================================== Stress-NG 0.14.06 Test: Mutex Bogo Ops/s > Higher Is Better a . 10556564.45 |======================================================= b . 11885212.76 |============================================================== Stress-NG 0.14.06 Test: Atomic Bogo Ops/s > Higher Is Better a . 203812.22 |================================================================ b . 199497.81 |=============================================================== Stress-NG 0.14.06 Test: Crypto Bogo Ops/s > Higher Is Better a . 34722.62 |================================================================= b . 32274.88 |============================================================ Stress-NG 0.14.06 Test: Malloc Bogo Ops/s > Higher Is Better a . 24051732.07 |============================================================== b . 24222411.86 |============================================================== Stress-NG 0.14.06 Test: Forking Bogo Ops/s > Higher Is Better a . 85644.09 |=============================================================== b . 88150.54 |================================================================= Stress-NG 0.14.06 Test: IO_uring Bogo Ops/s > Higher Is Better a . 24405.52 |=========================================================== b . 27013.00 |================================================================= Stress-NG 0.14.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 386040.06 |================================================================ b . 387020.54 |================================================================ Stress-NG 0.14.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 140.39 |================================================================= b . 145.06 |=================================================================== Stress-NG 0.14.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 44344.82 |================================================================= b . 44430.82 |================================================================= Stress-NG 0.14.06 Test: Semaphores Bogo Ops/s > Higher Is Better a . 2647043.16 |=============================================================== b . 2653440.36 |=============================================================== Stress-NG 0.14.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 105410.52 |================================================================ b . 100434.75 |============================================================= Stress-NG 0.14.06 Test: Vector Math Bogo Ops/s > Higher Is Better a . 107491.73 |================================================================ b . 107282.73 |================================================================ Stress-NG 0.14.06 Test: x86_64 RdRand Stress-NG 0.14.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 6023.06 |================================================================== b . 6055.08 |================================================================== Stress-NG 0.14.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 21588.47 |================================================================= b . 19398.62 |========================================================== Stress-NG 0.14.06 Test: Context Switching Bogo Ops/s > Higher Is Better a . 7269058.58 |=========================================================== b . 7822736.20 |=============================================================== Stress-NG 0.14.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 3786314.58 |=============================================================== b . 3784061.09 |=============================================================== Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 285.64 |=================================================================== b . 283.15 |================================================================== Stress-NG 0.14.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 12824745.14 |============================================================== b . 12852176.64 |============================================================== Stream 2013-01-17 Type: Copy MB/s > Higher Is Better a . 60212.6 |================================================================== b . 60281.9 |================================================================== Stream 2013-01-17 Type: Scale MB/s > Higher Is Better a . 39775.5 |================================================================== b . 39742.5 |================================================================== Stream 2013-01-17 Type: Triad MB/s > Higher Is Better a . 44032.4 |================================================================== b . 44086.5 |================================================================== Stream 2013-01-17 Type: Add MB/s > Higher Is Better a . 44030.5 |================================================================== b . 43942.1 |================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better a . 11.73 |==================================================================== b . 11.79 |==================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 308235 |=================================================================== b . 304290 |================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better a . 68.43 |=============================================================== b . 73.37 |==================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better a . 179.93 |============================================================= b . 198.29 |=================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 12.02 |================================================================ b . 12.74 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 11.96 |================================================================ b . 12.67 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 11.93 |================================================================= b . 12.48 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 11.78 |================================================================= b . 12.40 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 1.05 |===================================================================== b . 1.03 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 0.97 |===================================================================== b . 0.93 |================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 12605.1 |=============================================================== b . 13238.9 |================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 15466.9 |================================================================== b . 15523.4 |================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better a . 1007.17 |================================================================== b . 1007.41 |================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better a . 40.29 |==================================================================== b . 40.30 |==================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better a . 1024.35 |================================================================== b . 1026.34 |================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better a . 40.97 |==================================================================== b . 41.05 |==================================================================== nekRS 22.0 Input: TurboPipe Periodic FLOP/s > Higher Is Better a . 64871200000 |============================================================== b . 65118300000 |============================================================== OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better a . 100.34 |=================================================================== b . 100.56 |=================================================================== OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 66.53 |==================================================================== b . 66.45 |==================================================================== OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 193.52 |=================================================================== b . 192.08 |=================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 78.35 |==================================================================== b . 77.83 |==================================================================== OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 337.94 |=================================================================== b . 338.61 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 158.36 |=================================================================== b . 158.05 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 227.01 |=================================================================== b . 227.31 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 289.65 |=================================================================== b . 289.36 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 348.90 |=================================================================== b . 348.49 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 357.68 |=================================================================== b . 357.70 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 123.22 |=================================================================== b . 123.22 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 38.17 |==================================================================== b . 38.16 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 124.88 |=================================================================== b . 124.83 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 39.35 |==================================================================== b . 39.31 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 123.2 |==================================================================== b . 123.4 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 39.48 |==================================================================== b . 39.53 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 121.77 |=================================================================== b . 121.89 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 39.80 |==================================================================== b . 39.82 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 121.89 |=================================================================== b . 121.98 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better a . 9.676 |================================================================ b . 10.135 |=================================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better a . 1.428 |================================================================== b . 1.466 |==================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better a . 2.308 |================================================================== b . 2.389 |==================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better a . 12.86 |==================================================================== b . 12.58 |=================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 10.28 |==================================================================== b . 10.23 |==================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better a . 3.692 |=================================================================== b . 3.751 |==================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better a . 2.857 |================================================================ b . 3.040 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 3.251 |==================================================================== b . 3.233 |==================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better a . 21.16 |==================================================================== b . 20.74 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 9.4344 |=================================================================== b . 9.4433 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 632.76 |=================================================================== b . 632.21 |=================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 21.89 |==================================================================== b . 21.88 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 8.7480 |=================================================================== b . 8.7713 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 114.31 |=================================================================== b . 114.00 |=================================================================== 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 . 91.57 |==================================================================== b . 91.52 |==================================================================== 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 . 65.50 |==================================================================== b . 65.51 |==================================================================== 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 . 56.91 |==================================================================== b . 57.01 |==================================================================== 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 . 17.57 |==================================================================== b . 17.54 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 94.59 |==================================================================== b . 94.70 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 63.41 |==================================================================== b . 63.33 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 73.82 |==================================================================== b . 73.80 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 13.54 |==================================================================== b . 13.54 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 223.14 |=================================================================== b . 223.53 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 26.87 |==================================================================== b . 26.82 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 137.93 |=================================================================== b . 138.01 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 7.2448 |=================================================================== b . 7.2408 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 143.41 |=================================================================== b . 143.61 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 41.82 |==================================================================== b . 41.76 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 95.71 |==================================================================== b . 94.87 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 10.44 |=================================================================== b . 10.54 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 72.28 |==================================================================== b . 71.70 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 82.99 |=================================================================== b . 83.64 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 49.82 |==================================================================== b . 49.03 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 20.07 |=================================================================== b . 20.39 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 9.4567 |=================================================================== b . 9.4533 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 630.95 |=================================================================== b . 631.76 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 8.7785 |=================================================================== b . 8.7765 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 113.91 |=================================================================== b . 113.94 |=================================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better a . 18996 |==================================================================== b . 19009 |==================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better a . 1514 |===================================================================== b . 1518 |===================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.20161 |================================================================== b . 2.20270 |================================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3.28570 |================================================================== b . 3.27851 |================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.521835 |================================================================= b . 0.496825 |============================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.337307 |=========================================================== b . 0.369351 |================================================================= oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 0.973041 |================================================================ b . 0.989482 |================================================================= oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.52187 |================================================================ b . 1.57970 |================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.75764 |================================================================== b . 5.75116 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.04957 |================================================================== b . 3.91733 |================================================================ oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3.11616 |================================================================== b . 3.11582 |================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 5.38305 |================================================================== b . 5.38606 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.547255 |================================================================= b . 0.546550 |================================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.789632 |================================================================= b . 0.763137 |=============================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1464.71 |================================================================== b . 1462.28 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 751.24 |=================================================================== b . 749.22 |=================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1468.84 |================================================================== b . 1461.51 |================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.84240 |================================================================== b . 1.83776 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5.19899 |================================================================== b . 5.19599 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.85387 |================================================================== b . 1.85422 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 749.50 |=================================================================== b . 748.41 |=================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 0.553097 |================================================================= b . 0.553435 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1461.42 |================================================================== b . 1468.12 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 749.60 |=================================================================== b . 749.09 |=================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.179975 |================================================================= b . 0.179875 |================================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 0.293989 |================================================================= b . 0.293853 |================================================================= OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 10.69 |==================================================================== b . 10.72 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 559.91 |=================================================================== b . 558.64 |=================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 5.90 |===================================================================== b . 5.85 |==================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 1014.92 |================================================================== b . 1019.72 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 5.87 |===================================================================== b . 5.84 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 1015.76 |================================================================== b . 1020.98 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 717.90 |================================================================== b . 726.25 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 8.35 |===================================================================== b . 8.25 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 20.84 |==================================================================== b . 20.83 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 287.38 |=================================================================== b . 287.56 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1384.25 |================================================================== b . 1382.60 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 4.33 |===================================================================== b . 4.34 |===================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 1071.83 |================================================================== b . 1071.58 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 5.59 |===================================================================== b . 5.59 |===================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 108.68 |=================================================================== b . 107.32 |================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 55.16 |=================================================================== b . 55.87 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 2168.46 |================================================================== b . 2168.92 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 5.53 |===================================================================== b . 5.53 |===================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 1249.34 |================================================================== b . 1244.72 |================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 4.80 |===================================================================== b . 4.81 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 33642.44 |================================================================= b . 33761.40 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 0.35 |===================================================================== b . 0.35 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 47791.89 |================================================================= b . 47792.77 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.25 |===================================================================== b . 0.25 |===================================================================== OpenFOAM 10 Input: motorBike Seconds < Lower Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 25.20 |================================================================== b . 25.81 |==================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 178.55 |=================================================================== b . 176.09 |================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better a . 205.73 |================================================================== b . 209.59 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better a . 2217.78 |================================================================== b . 2222.24 |================================================================== OpenFOAM 10 Input: motorBike - Execution Time Seconds < Lower Is Better b . 2.65814 |================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a . 154326 |=================================================================== b . 154559 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a . 136525 |=================================================================== b . 136291 |=================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better a . 39.37 |==================================================================== b . 39.47 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Magi kH/s > Higher Is Better a . 863.91 |=================================================================== b . 852.17 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: x25x kH/s > Higher Is Better a . 885.22 |=================================================================== b . 889.91 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: scrypt kH/s > Higher Is Better a . 515.94 |=================================================================== b . 509.75 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Deepcoin kH/s > Higher Is Better a . 15910 |================================================================== b . 16300 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: Ringcoin kH/s > Higher Is Better a . 3286.46 |================================================================== b . 3291.46 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S kH/s > Higher Is Better a . 1343070 |================================================================== b . 1029150 |=================================================== Cpuminer-Opt 3.20.3 Algorithm: Garlicoin kH/s > Higher Is Better a . 3641.88 |================================================================== b . 3537.11 |================================================================ Cpuminer-Opt 3.20.3 Algorithm: Skeincoin kH/s > Higher Is Better a . 209170 |=================================================================== b . 209440 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 50470 |=================================================================== b . 51020 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 109350 |=================================================================== b . 109450 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 231140 |================================================================== b . 235620 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 322550 |================================================================ b . 338820 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.35 |=================================================================== b . 0.36 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 10.08 |==================================================================== b . 10.14 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 35.96 |================================================================== b . 37.19 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 17.60 |=================================================================== b . 17.83 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 51.88 |================================================================= b . 54.63 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 68.39 |================================================================ b . 72.65 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 69.66 |================================================================ b . 73.51 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 1.01 |===================================================================== b . 1.01 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 19.19 |==================================================================== b . 19.23 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 66.86 |========================================================== b . 78.10 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 44.20 |==================================================================== b . 44.39 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 119.52 |================================================================= b . 124.05 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 148.98 |=================================================================== b . 148.57 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 150.63 |================================================================== b . 153.13 |=================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 66.07 |==================================================================== b . 66.19 |==================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 169.11 |=================================================================== b . 169.57 |=================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 85.49 |==================================================================== b . 85.08 |==================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 635.91 |=================================================================== b . 635.69 |=================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 211.89 |=================================================================== b . 211.89 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 16.87 |==================================================================== b . 16.89 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 299.42 |=================================================================== b . 298.97 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 44.02 |==================================================================== b . 43.93 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 114.72 |=================================================================== b . 114.97 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 139.28 |=================================================================== b . 139.66 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 18.13 |==================================================================== b . 18.08 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 113.65 |=================================================================== b . 113.36 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 22.22 |==================================================================== b . 22.27 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 109.55 |=================================================================== b . 109.10 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 69.14 |==================================================================== b . 69.43 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 169.47 |=================================================================== b . 167.54 |================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 44.70 |=================================================================== b . 45.21 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 109.33 |=================================================================== b . 110.05 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 69.28 |==================================================================== b . 68.83 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 168.30 |=================================================================== b . 167.40 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 45.01 |==================================================================== b . 45.25 |==================================================================== libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better a . 84.04 |=================================================================== b . 84.76 |==================================================================== libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better a . 41.37 |================================================================== b . 42.38 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better a . 3.769 |==================================================================== b . 3.736 |=================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 6.224 |=================================================================== b . 6.315 |==================================================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 3.535 |==================================================================== b . 3.543 |==================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better a . 5.5 |====================================================================== b . 5.4 |===================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 4K FPS > Higher Is Better a . 19.81 |=================================================================== b . 20.00 |==================================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 4K FPS > Higher Is Better a . 5.52 |==================================================================== b . 5.62 |===================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 4K FPS > Higher Is Better a . 4.83 |===================================================================== b . 4.84 |===================================================================== QuadRay 2022.05.25 Scene: 5 - Resolution: 4K FPS > Higher Is Better a . 1.44 |================================================================ b . 1.55 |===================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 1080p FPS > Higher Is Better a . 76.23 |==================================================================== b . 76.57 |==================================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 1080p FPS > Higher Is Better a . 20.95 |=================================================================== b . 21.31 |==================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 1080p FPS > Higher Is Better a . 18.52 |==================================================================== b . 18.55 |==================================================================== QuadRay 2022.05.25 Scene: 5 - Resolution: 1080p FPS > Higher Is Better a . 5.71 |================================================================== b . 5.96 |===================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better a . 13.04 |=================================================================== b . 13.14 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better a . 183.36 |=================================================================== b . 182.61 |=================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better a . 65.65 |==================================================================== b . 64.45 |=================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better a . 314.64 |=================================================================== b . 312.04 |================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better a . 35.70 |==================================================================== b . 35.92 |==================================================================== C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better a . 20713.1 |================================================================= b . 21142.2 |================================================================== C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better a . 11242.2 |================================================================= b . 11489.5 |================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better a . 222900000 |=============================================================== b . 225000000 |================================================================ srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better a . 603.1 |=================================================================== b . 611.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better a . 227.6 |=================================================================== b . 231.2 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 601.3 |==================================================================== b . 598.7 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 239.2 |=================================================================== b . 242.4 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better a . 626.3 |================================================================ b . 668.5 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better a . 239.3 |================================================================= b . 249.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better a . 650.9 |==================================================================== b . 643.9 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better a . 251 |====================================================================== b . 251 |====================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 200.6 |==================================================================== b . 200.8 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 122.9 |============================================================= b . 137.5 |==================================================================== nginx 1.23.2 Connections: 1 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 20 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better a . 137650.85 |================================================================ b . 136318.84 |=============================================================== nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 137835.76 |================================================================ b . 136170.71 |=============================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 135867.53 |================================================================ b . 133787.04 |=============================================================== nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 125963.01 |================================================================ b . 122285.31 |============================================================== nginx 1.23.2 Connections: 4000 Requests Per Second > Higher Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 231.71 |============================================================== b . 252.20 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 259.88 |================================================================ b . 273.31 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 269.06 |================================================================== b . 273.74 |=================================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 4846900.63 |=============================================================== b . 4791381.14 |============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 5133428.52 |=============================================================== b . 5031752.18 |============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better a . 4692530.64 |=============================================================== b . 4640660.41 |============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 4831108.14 |=============================================================== b . 4763803.93 |============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 4968213.38 |============================================================== b . 5055548.28 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better a . 4624845.97 |=============================================================== b . 4630859.67 |=============================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Only TPS > Higher Is Better a . 59102 |==================================================================== b . 58025 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.017 |==================================================================== b . 0.017 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Write TPS > Higher Is Better a . 2838 |===================================================================== b . 2799 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better a . 0.352 |=================================================================== b . 0.357 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Only TPS > Higher Is Better a . 779915 |=================================================================== b . 772349 |================================================================== EnCodec 0.1.1 Target Bandwidth: 1.5 kbps Seconds < Lower Is Better a . 24.33 |==================================================================== b . 24.28 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.064 |=================================================================== b . 0.065 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 674178 |================================================================= b . 700101 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.148 |==================================================================== b . 0.143 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Write TPS > Higher Is Better a . 2722 |===================================================================== b . 2714 |===================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better a . 18.37 |==================================================================== b . 18.42 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Only TPS > Higher Is Better a . 61322 |==================================================================== b . 56707 |=============================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.016 |============================================================ b . 0.018 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 2436 |===================================================================== b . 2442 |===================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 41.06 |==================================================================== b . 40.96 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Write TPS > Higher Is Better a . 2705 |===================================================================== b . 2724 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better a . 0.370 |==================================================================== b . 0.367 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only TPS > Higher Is Better a . 722315 |================================================================== b . 736786 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.069 |==================================================================== b . 0.068 |=================================================================== EnCodec 0.1.1 Target Bandwidth: 6 kbps Seconds < Lower Is Better a . 25.19 |==================================================================== b . 25.25 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 24 kbps Seconds < Lower Is Better a . 28.90 |==================================================================== b . 28.71 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 3 kbps Seconds < Lower Is Better a . 24.99 |==================================================================== b . 25.06 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 656243 |=================================================================== b . 652856 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.152 |==================================================================== b . 0.153 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write TPS > Higher Is Better a . 44304 |============================================================ b . 50233 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1.129 |==================================================================== b . 0.995 |============================================================ PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 58054 |================================================================== b . 59960 |==================================================================== Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz Seconds < Lower Is Better a . 4.64 |===================================================================== b . 4.63 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1.723 |==================================================================== b . 1.668 |================================================================== SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better a . 19.61 |=================================================================== b . 19.92 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better a . 2499.01 |================================================================= b . 2530.42 |================================================================== SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better a . 36.37 |==================================================================== b . 36.58 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better a . 30.06 |==================================================================== b . 30.10 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better a . 64.58 |==================================================================== b . 64.66 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better a . 27.27 |==================================================================== b . 27.24 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better a . 35.61 |==================================================================== b . 34.03 |================================================================= SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better a . 27.63 |==================================================================== b . 27.51 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better a . 57.82 |=================================================================== b . 58.32 |====================================================================