xeon eo march 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite. a: Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS: Ubuntu 22.10, Kernel: 6.2.0-rc5-phx-dodt (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS: Ubuntu 22.10, Kernel: 6.2.0-rc5-phx-dodt (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS: Ubuntu 22.10, Kernel: 6.2.0-rc5-phx-dodt (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 RocksDB 8.0 Test: Sequential Fill Op/s > Higher Is Better a . 106061 |=================================================================== b . 106147 |=================================================================== c . 106227 |=================================================================== MariaDB 11.0.1 Clients: 512 Queries Per Second > Higher Is Better a . 110 |====================================================================== b . 110 |====================================================================== c . 110 |====================================================================== MariaDB 11.0.1 Clients: 1024 Queries Per Second > Higher Is Better a . 110 |===================================================================== b . 110 |===================================================================== c . 111 |====================================================================== MariaDB 11.0.1 Clients: 2048 Queries Per Second > Higher Is Better a . 111 |===================================================================== b . 112 |====================================================================== c . 111 |===================================================================== MariaDB 11.0.1 Clients: 4096 Queries Per Second > Higher Is Better a . 115 |====================================================================== b . 115 |====================================================================== c . 114 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better a . 71.38 |==================================================================== b . 71.21 |=================================================================== c . 71.74 |==================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 705.68 |=================================================================== b . 656.80 |============================================================== oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 466.73 |================================================================== b . 471.80 |=================================================================== OpenCV 4.7 Test: Graph API ms < Lower Is Better a . 671086 |=================================================================== b . 597049 |============================================================ oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 708.53 |================================================================ b . 737.56 |=================================================================== OpenCV 4.7 Test: Stitching ms < Lower Is Better a . 508105 |=================================================================== b . 489265 |================================================================= FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 16.90 |==================================================================== b . 16.87 |==================================================================== c . 16.79 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 448.21 |=================================================================== b . 448.99 |=================================================================== c . 451.26 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 16.88 |==================================================================== b . 16.90 |==================================================================== c . 16.84 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 448.63 |=================================================================== b . 448.26 |=================================================================== c . 449.86 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 60.21 |=================================================================== b . 60.09 |=================================================================== c . 60.71 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 8.62 |==================================================================== b . 8.66 |===================================================================== c . 8.71 |===================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 292.80 |=================================================================== b . 291.57 |=================================================================== c . 289.92 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 9.91 |===================================================================== b . 9.97 |===================================================================== c . 9.81 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 254.90 |================================================================== b . 253.32 |================================================================== c . 257.31 |=================================================================== OpenCV 4.7 Test: Image Processing ms < Lower Is Better a . 356989 |=================================================================== b . 293481 |======================================================= OpenCV 4.7 Test: Features 2D ms < Lower Is Better a . 270872 |=================================================== b . 356993 |=================================================================== Timed LLVM Compilation 16.0 Build System: Unix Makefiles Seconds < Lower Is Better a . 286.22 |================================================================== b . 286.24 |================================================================== c . 288.95 |=================================================================== Blender 3.5 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 244.20 |=================================================================== b . 243.71 |=================================================================== c . 244.89 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 36.21 |==================================================================== b . 35.16 |================================================================== c . 35.33 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 209.22 |================================================================= b . 215.44 |=================================================================== c . 214.38 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 35.63 |=================================================================== b . 35.64 |=================================================================== c . 36.21 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 212.62 |=================================================================== b . 212.54 |=================================================================== c . 209.19 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 257.44 |=================================================================== b . 258.17 |=================================================================== c . 258.13 |=================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.88 |===================================================================== b . 2.90 |===================================================================== c . 2.88 |===================================================================== Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better a . 203.68 |================================================================== b . 202.83 |================================================================= c . 207.61 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 38.90 |==================================================================== b . 38.63 |==================================================================== c . 38.71 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 3.261 |==================================================================== b . 3.221 |=================================================================== c . 3.191 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 33.78 |================================================================== b . 34.57 |==================================================================== c . 34.24 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 149.48 |=================================================================== b . 146.07 |================================================================= c . 147.51 |================================================================== Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better a . 180.77 |=================================================================== b . 181.17 |=================================================================== c . 180.06 |=================================================================== OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 293957452870 |============================================================= b . 294463651570 |============================================================= c . 294001151180 |============================================================= OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better a . 709965487310 |============================================================= b . 712463205990 |============================================================= c . 710407167180 |============================================================= OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better a . 799202790060 |============================================================ b . 802646430240 |============================================================= c . 806241823680 |============================================================= OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better a . 425091630970 |============================================================= b . 425550559910 |============================================================= c . 425195437530 |============================================================= OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better a . 57611766850 |============================================================== b . 54810975320 |=========================================================== c . 57348072400 |============================================================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better a . 22617583540 |============================================================== b . 22641175270 |============================================================== c . 22228899690 |============================================================= oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 35.46 |============================================================= b . 39.80 |==================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 711.38 |=============================================================== b . 752.43 |=================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 453.91 |=================================================================== b . 437.40 |================================================================= oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 455.60 |=================================================================== b . 447.36 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.01 |===================================================================== b . 4.93 |==================================================================== c . 4.95 |==================================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better a . 148.77 |=================================================================== b . 148.85 |=================================================================== c . 146.51 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 214.30 |=================================================================== b . 213.49 |=================================================================== c . 213.69 |=================================================================== OpenCV 4.7 Test: Video ms < Lower Is Better a . 121173 |============================================================= b . 133100 |=================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 5.029 |==================================================================== b . 4.998 |==================================================================== c . 5.012 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 30.87 |==================================================================== b . 30.80 |==================================================================== c . 31.00 |==================================================================== oneDNN 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1.46571 |========================================================== b . 1.65880 |================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.20 |===================================================================== b . 5.04 |=================================================================== c . 5.02 |=================================================================== oneDNN 3.1 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.56877 |================= b . 10.05550 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 518.73 |=================================================================== b . 513.22 |================================================================== c . 514.40 |================================================================== OpenCV 4.7 Test: Object Detection ms < Lower Is Better a . 119494 |=================================================================== b . 103986 |========================================================== OpenCV 4.7 Test: DNN - Deep Neural Network ms < Lower Is Better a . 115385 |=================================================================== b . 107827 |=============================================================== VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 5.71 |===================================================================== b . 5.66 |==================================================================== c . 5.73 |===================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 8.16 |=================================================================== b . 8.40 |===================================================================== c . 7.99 |================================================================== oneDNN 3.1 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 18.01146 |================================================================= b . 5.37587 |=================== Build2 0.15 Time To Compile Seconds < Lower Is Better a . 93.00 |=================================================================== b . 94.97 |==================================================================== c . 92.48 |================================================================== ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 10.81 |==================================================================== b . 10.89 |==================================================================== c . 10.71 |=================================================================== ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 92.43 |=================================================================== b . 91.76 |=================================================================== c . 93.32 |==================================================================== ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 5.45281 |================================================================== b . 5.34648 |================================================================= c . 5.40610 |================================================================= ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 183.30 |================================================================== b . 186.94 |=================================================================== c . 184.88 |================================================================== ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 320.96 |=============================================================== b . 341.19 |=================================================================== c . 340.99 |=================================================================== ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 3.11560 |================================================================== b . 2.93086 |============================================================== c . 2.93257 |============================================================== ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 98.12 |=================================================================== b . 98.61 |=================================================================== c . 99.41 |==================================================================== ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 10.19 |==================================================================== b . 10.14 |==================================================================== c . 10.06 |=================================================================== ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 75.44 |=================================================================== b . 76.75 |==================================================================== c . 74.46 |================================================================== ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 13.25 |=================================================================== b . 13.03 |================================================================== c . 13.43 |==================================================================== ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 62.01 |=================================================================== b . 61.29 |=================================================================== c . 62.65 |==================================================================== ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 16.13 |=================================================================== b . 16.31 |==================================================================== c . 15.96 |=================================================================== ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 30.60 |================================================================== b . 30.60 |================================================================== c . 31.31 |==================================================================== ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 32.68 |==================================================================== b . 32.68 |==================================================================== c . 31.93 |================================================================== ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 27.62 |=============================================================== b . 29.69 |==================================================================== c . 26.98 |============================================================== ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 36.20 |================================================================== b . 33.68 |============================================================== c . 37.05 |==================================================================== ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 87.99 |==================================================================== b . 84.05 |================================================================= c . 85.51 |================================================================== ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 11.36 |================================================================= b . 11.90 |==================================================================== c . 11.69 |=================================================================== ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 106.66 |=================================================================== b . 105.53 |================================================================== c . 106.35 |=================================================================== ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 9.37499 |================================================================= b . 9.47539 |================================================================== c . 9.40220 |================================================================= ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 44.86 |=================================================================== b . 45.56 |==================================================================== ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 22.29 |==================================================================== b . 21.95 |=================================================================== ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 37.67 |==================================================================== b . 31.20 |======================================================== ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 26.54 |======================================================== b . 32.05 |==================================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 222945.56 |=============================================================== b . 226231.19 |================================================================ c . 225697.84 |================================================================ nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 245504.32 |================================================================ b . 244509.87 |================================================================ c . 246434.82 |================================================================ ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 1.59956 |================================================================ b . 1.64503 |================================================================== c . 1.59992 |================================================================ ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 624.46 |=================================================================== b . 607.24 |================================================================= c . 624.35 |=================================================================== Apache HTTP Server 2.4.56 Concurrent Requests: 500 Requests Per Second > Higher Is Better a . 37442.60 |================================================================= b . 37076.95 |================================================================ ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 1.42719 |================================================================== b . 1.41212 |================================================================= c . 1.41518 |================================================================= ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 699.96 |================================================================== b . 707.31 |=================================================================== c . 705.80 |=================================================================== Apache HTTP Server 2.4.56 Concurrent Requests: 200 Requests Per Second > Higher Is Better a . 34680.57 |=========================================================== b . 38092.88 |================================================================= ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 5.25466 |================================================================= b . 5.33429 |================================================================== ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 190.26 |=================================================================== b . 187.42 |================================================================== ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 4.54812 |================================================================= b . 4.62093 |================================================================== ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 219.83 |=================================================================== b . 216.36 |================================================================== ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 16.18 |================================================================= b . 17.00 |==================================================================== ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 61.79 |==================================================================== b . 58.83 |================================================================= ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 5.09499 |================================================================== b . 5.07500 |================================================================== ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 196.25 |=================================================================== b . 197.02 |=================================================================== OpenCV 4.7 Test: Core ms < Lower Is Better a . 88425 |==================================================================== b . 83121 |================================================================ AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 8.82 |===================================================================== b . 8.79 |==================================================================== c . 8.86 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 23.33 |==================================================================== b . 22.99 |=================================================================== c . 23.23 |==================================================================== Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 Backend: OpenMP - Kernel: Points2Image Test Cases Per Minute > Higher Is Better a . 9474.39 |=============================================================== b . 9912.90 |================================================================== c . 8791.23 |=========================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better a . 917.2 |=================================================================== b . 928.7 |==================================================================== c . 920.9 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better a . 7.88 |===================================================================== b . 7.25 |=============================================================== c . 6.95 |============================================================= VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 7.998 |=================================================================== b . 8.014 |=================================================================== c . 8.119 |==================================================================== Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 76.92 |==================================================================== b . 77.29 |==================================================================== c . 77.15 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.375 |==================================================================== b . 2.336 |=================================================================== c . 2.327 |=================================================================== oneDNN 3.1 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.03996 |================================================================== b . 1.80895 |=========================================================== oneDNN 3.1 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.30887 |================================================================== b . 2.21121 |=============================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 408.72 |=================================================================== b . 407.51 |=================================================================== c . 410.27 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 133.05 |=================================================================== b . 130.09 |================================================================== c . 130.88 |================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 37.96 |================================================================== b . 38.82 |==================================================================== c . 38.58 |==================================================================== dav1d 1.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 130.69 |=================================================================== b . 130.12 |=================================================================== c . 130.27 |=================================================================== Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 1970590.49 |=============================================================== b . 1946110.38 |============================================================== c . 1527158.77 |================================================= dav1d 1.1 Video Input: Chimera 1080p FPS > Higher Is Better a . 134.66 |=================================================================== b . 133.01 |================================================================== c . 134.10 |=================================================================== Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2137824.96 |============================================================= b . 1736416.84 |================================================= c . 2222180.60 |=============================================================== Memcached 1.6.19 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1774418.86 |==================================================== b . 2133650.03 |=============================================================== c . 1820534.68 |====================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1161.6 |=================================================================== b . 1163.4 |=================================================================== c . 1129.3 |================================================================= Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better a . 295.0 |==================================================================== b . 278.4 |================================================================ c . 285.6 |================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1190.2 |=================================================================== b . 1172.3 |================================================================== c . 1189.7 |=================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better a . 258.0 |======================================================== b . 313.7 |==================================================================== c . 267.4 |========================================================== Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 1128.4 |=================================================================== b . 1132.3 |=================================================================== c . 1126.3 |=================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 2013.1 |============================================================= b . 2185.0 |================================================================== c . 2209.8 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better a . 1128.8 |================================================================== b . 1140.4 |=================================================================== c . 831.7 |================================================= Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed MB/s > Higher Is Better a . 624.0 |================================================================== b . 603.0 |================================================================ c . 638.2 |==================================================================== Blender 3.5 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 63.07 |==================================================================== b . 62.71 |==================================================================== c . 63.14 |==================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 1095.6 |=================================================================== b . 1075.5 |================================================================== c . 1072.1 |================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 161.4 |============================================================= b . 180.6 |==================================================================== c . 169.9 |================================================================ Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better a . 907.7 |=================================================================== b . 924.0 |==================================================================== c . 907.0 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed MB/s > Higher Is Better a . 14.6 |===================================================================== b . 14.3 |==================================================================== c . 14.4 |==================================================================== RocksDB 8.0 Test: Random Fill Sync Op/s > Higher Is Better a . 73440 |=================================================================== b . 74771 |==================================================================== c . 74573 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.33 |=================================================================== b . 0.34 |===================================================================== c . 0.34 |===================================================================== RocksDB 8.0 Test: Random Fill Op/s > Higher Is Better a . 104159 |=================================================================== b . 104356 |=================================================================== c . 104086 |=================================================================== oneDNN 3.1 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 30.271432 |================================================================ b . 0.668506 |= John The Ripper 2023.03.14 Test: MD5 Real C/S > Higher Is Better a . 10384000 |================================================================= b . 10295000 |================================================================ c . 2766000 |================= RocksDB 8.0 Test: Update Random Op/s > Higher Is Better a . 97772 |==================================================================== b . 97861 |==================================================================== c . 97722 |==================================================================== RocksDB 8.0 Test: Read Random Write Random Op/s > Higher Is Better a . 920426 |================================================================ b . 959340 |=================================================================== c . 954852 |=================================================================== John The Ripper 2023.03.14 Test: HMAC-SHA512 Real C/S > Higher Is Better a . 151993000 |================================================================ b . 152981000 |================================================================ c . 19292000 |======== RocksDB 8.0 Test: Read While Writing Op/s > Higher Is Better a . 8059987 |================================================================= b . 7531197 |============================================================= c . 8192793 |================================================================== RocksDB 8.0 Test: Random Read Op/s > Higher Is Better a . 273039094 |================================================================ b . 268195000 |=============================================================== c . 273197200 |================================================================ OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better a . 1189343.7 |================================================================ b . 1186897.4 |================================================================ c . 1188772.4 |================================================================ OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better a . 36965.0 |================================================================== b . 36899.1 |================================================================== c . 36977.5 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 132.43 |=================================================================== b . 132.26 |=================================================================== c . 131.98 |=================================================================== dav1d 1.1 Video Input: Summer Nature 4K FPS > Higher Is Better a . 66.17 |==================================================================== b . 65.21 |=================================================================== c . 65.70 |==================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 11.42 |=================================================================== b . 11.53 |==================================================================== c . 11.31 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 15.97 |==================================================================== b . 15.58 |================================================================== c . 16.07 |==================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 13.35 |==================================================================== b . 13.10 |=================================================================== c . 12.98 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3.90427 |================================================================= b . 3.93436 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.373237 |================================================================ b . 0.379540 |================================================================= AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 15.39 |=================================================================== b . 15.36 |=================================================================== c . 15.51 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 16.15 |=================================================================== b . 15.53 |================================================================= c . 16.33 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 100.57 |================================================================== b . 101.79 |=================================================================== c . 101.18 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 15.82 |================================================================= b . 16.43 |==================================================================== c . 16.33 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 16.04 |================================================================== b . 16.56 |==================================================================== c . 16.63 |==================================================================== dav1d 1.1 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 96.80 |==================================================================== b . 96.07 |=================================================================== c . 95.86 |=================================================================== SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better a . 31.47 |==================================================================== b . 30.37 |================================================================== c . 30.96 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 236.08 |=================================================================== b . 228.16 |================================================================= c . 227.64 |================================================================= SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better a . 29.64 |==================================================================== b . 29.52 |==================================================================== c . 29.65 |==================================================================== Stress-NG 0.15.06 Test: Atomic Bogo Ops/s > Higher Is Better a . 139.80 |=========================== b . 163.26 |=============================== c . 349.89 |=================================================================== Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 32.22 |==================================================================== b . 32.29 |==================================================================== c . 32.07 |==================================================================== Stress-NG 0.15.06 Test: Futex Bogo Ops/s > Higher Is Better a . 957096.20 |========================================================= b . 1018129.24 |============================================================= c . 1056011.64 |=============================================================== Stress-NG 0.15.06 Test: Pthread Bogo Ops/s > Higher Is Better a . 87858.71 |=============================================================== b . 87532.40 |=============================================================== c . 90272.05 |================================================================= Stress-NG 0.15.06 Test: Zlib Bogo Ops/s > Higher Is Better a . 6374.22 |================================================================= b . 5549.21 |======================================================== c . 6511.98 |================================================================== Stress-NG 0.15.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 94302.89 |================================================================= b . 79477.34 |======================================================= c . 50201.57 |=================================== Stress-NG 0.15.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 10941.37 |================================================================= b . 10922.24 |================================================================= c . 10908.20 |================================================================= John The Ripper 2023.03.14 Test: WPA PSK Real C/S > Higher Is Better a . 483328 |=================================================================== b . 482323 |=================================================================== c . 255829 |=================================== Stress-NG 0.15.06 Test: IO_uring Bogo Ops/s > Higher Is Better a . 26355.62 |================================================================= b . 26364.63 |================================================================= c . 26405.01 |================================================================= John The Ripper 2023.03.14 Test: bcrypt Real C/S > Higher Is Better a . 114777 |=================================================================== b . 114825 |=================================================================== c . 64015 |===================================== John The Ripper 2023.03.14 Test: Blowfish Real C/S > Higher Is Better a . 114499 |=================================================================== b . 107388 |=============================================================== c . 51517 |============================== Stress-NG 0.15.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 1441584.05 |====================================================== b . 1691720.80 |=============================================================== c . 1657780.82 |============================================================== Stress-NG 0.15.06 Test: Malloc Bogo Ops/s > Higher Is Better a . 190168476.52 |============================================================= b . 191206280.20 |============================================================= c . 190376822.58 |============================================================= Stress-NG 0.15.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 10295375.81 |========= b . 10283641.13 |========= c . 73426960.15 |============================================================== Stress-NG 0.15.06 Test: MEMFD Bogo Ops/s > Higher Is Better a . 766.90 |=================================================================== b . 583.83 |=================================================== c . 583.20 |=================================================== Stress-NG 0.15.06 Test: NUMA Bogo Ops/s > Higher Is Better a . 437.26 |=================================================================== b . 432.40 |================================================================== c . 433.52 |================================================================== Stress-NG 0.15.06 Test: Poll Bogo Ops/s > Higher Is Better a . 9551392.98 |=============================================================== b . 9566416.75 |=============================================================== c . 9500903.35 |=============================================================== Stress-NG 0.15.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 60467587.40 |============================================================== b . 59352709.91 |============================================================= c . 58278938.78 |============================================================ Stress-NG 0.15.06 Test: Semaphores Bogo Ops/s > Higher Is Better a . 11840389.35 |============================================================ b . 12234144.91 |============================================================== c . 12232435.50 |============================================================== Stress-NG 0.15.06 Test: Vector Math Bogo Ops/s > Higher Is Better a . 306730.85 |================================================================ b . 306299.59 |================================================================ c . 306225.09 |================================================================ Stress-NG 0.15.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 335705.12 |=============================================================== b . 341137.35 |================================================================ c . 341249.75 |================================================================ Stress-NG 0.15.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 152655.29 |============================================================== b . 152455.93 |============================================================== c . 157803.19 |================================================================ Stress-NG 0.15.06 Test: Hash Bogo Ops/s > Higher Is Better a . 12949136.28 |============================================================= b . 13204487.51 |============================================================== c . 13066446.38 |============================================================= Stress-NG 0.15.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 1143575.46 |============================================================== b . 1162795.27 |=============================================================== c . 1165355.20 |=============================================================== Stress-NG 0.15.06 Test: Function Call Bogo Ops/s > Higher Is Better a . 429335.83 |================================================================ b . 413303.53 |============================================================= c . 431183.83 |================================================================ Stress-NG 0.15.06 Test: Mutex Bogo Ops/s > Higher Is Better a . 36280764.76 |============================================================== b . 36505304.60 |============================================================== c . 36276764.04 |============================================================== Stress-NG 0.15.06 Test: Forking Bogo Ops/s > Higher Is Better a . 65824.56 |================================================================ b . 66467.95 |================================================================= c . 65696.65 |================================================================ Stress-NG 0.15.06 Test: Crypto Bogo Ops/s > Higher Is Better a . 105894.93 |============================================================== b . 108459.26 |================================================================ c . 107612.44 |================================================================ Stress-NG 0.15.06 Test: MMAP Bogo Ops/s > Higher Is Better a . 3124.36 |================================================================== b . 3115.23 |================================================================== c . 3092.95 |================================================================= Stress-NG 0.15.06 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 658591.72 |================================================================ b . 658461.44 |================================================================ c . 658542.68 |================================================================ Stress-NG 0.15.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 1550.53 |================================================================== b . 1546.69 |================================================================== c . 1547.20 |================================================================== Stress-NG 0.15.06 Test: Context Switching Bogo Ops/s > Higher Is Better a . 3511158.35 |=============================================================== b . 3508321.29 |=============================================================== c . 3511599.94 |=============================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 73.81 |==================================================================== b . 72.81 |=================================================================== c . 72.70 |=================================================================== GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 9.268 |==================================================================== b . 9.199 |=================================================================== c . 9.259 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.73 |===================================================================== b . 0.73 |===================================================================== c . 0.73 |===================================================================== Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 Backend: OpenMP - Kernel: Euclidean Cluster Test Cases Per Minute > Higher Is Better a . 842.32 |================================================================== b . 796.63 |=============================================================== c . 848.69 |=================================================================== Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 Backend: OpenMP - Kernel: NDT Mapping Test Cases Per Minute > Higher Is Better a . 817.52 |============================================================= b . 771.26 |========================================================== c . 892.13 |=================================================================== Blender 3.5 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 24.20 |=================================================================== b . 24.36 |==================================================================== c . 24.42 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 37.74 |=================================================================== b . 38.18 |==================================================================== c . 37.33 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 178.52 |=================================================================== b . 174.81 |================================================================== c . 175.31 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3.67056 |========================================================== b . 4.16467 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 28.78 |==================================================================== b . 27.93 |================================================================== c . 28.61 |==================================================================== SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better a . 18.03 |=================================================================== b . 18.18 |==================================================================== c . 18.29 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 29.39 |=================================================================== b . 29.81 |==================================================================== c . 29.56 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 30.04 |================================================================== b . 30.21 |================================================================== c . 30.98 |==================================================================== Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 76.17 |==================================================================== b . 76.66 |==================================================================== c . 76.41 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 31.70 |==================================================================== b . 31.10 |=================================================================== c . 30.01 |================================================================ Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 89.18 |==================================================================== b . 89.29 |==================================================================== c . 88.89 |==================================================================== SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better a . 15.30 |==================================================================== b . 14.71 |================================================================= c . 14.96 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.201235 |============================================================ b . 0.218330 |================================================================= Timed FFmpeg Compilation 6.0 Time To Compile Seconds < Lower Is Better a . 17.81 |==================================================================== b . 17.87 |==================================================================== c . 17.84 |==================================================================== SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better a . 13.74 |==================================================================== b . 13.46 |=================================================================== c . 13.57 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 138.07 |=============================================================== b . 145.79 |=================================================================== c . 145.45 |=================================================================== oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1.41955 |================================================================== b . 1.40563 |================================================================= oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.17192 |================================================================== b . 1.16101 |================================================================= oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.10120 |================================================================ b . 2.16346 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 0.875338 |============================================================= b . 0.925478 |================================================================= Embree 4.0.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 71.27 |=================================================================== b . 71.83 |==================================================================== c . 71.89 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 116.89 |================================================================= b . 119.69 |=================================================================== c . 120.06 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 97.16 |==================================================================== b . 97.19 |==================================================================== c . 97.57 |==================================================================== Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 84.35 |==================================================================== b . 84.28 |==================================================================== c . 84.59 |==================================================================== Google Draco 1.5.6 Model: Church Facade ms < Lower Is Better a . 6765 |===================================================================== b . 6702 |==================================================================== c . 6767 |===================================================================== Embree 4.0.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 88.00 |==================================================================== b . 88.57 |==================================================================== c . 87.85 |=================================================================== Google Draco 1.5.6 Model: Lion ms < Lower Is Better a . 5502 |===================================================================== b . 5479 |==================================================================== c . 5521 |===================================================================== Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 103.14 |================================================================== b . 104.48 |=================================================================== c . 104.28 |=================================================================== nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Requests Per Second > Higher Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 100 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better