11900K Intel Core i9-11900K testing with a ASUS ROG MAXIMUS XIII HERO (1402 BIOS) and ASUS Intel RKL GT1 31GB on Ubuntu 21.10 via the Phoronix Test Suite. R: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1402 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 31GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-mmio-stale-data-patched (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-fd27d51 2022-06-15 impish-oibaf-ppa), Vulkan: 1.3.217, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 B: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1402 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 31GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-mmio-stale-data-patched (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-fd27d51 2022-06-15 impish-oibaf-ppa), Vulkan: 1.3.217, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 C: Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (1402 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel RKL GT1 31GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-mmio-stale-data-patched (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-fd27d51 2022-06-15 impish-oibaf-ppa), Vulkan: 1.3.217, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better R . 60.65 |================================================================== B . 61.64 |==================================================================== C . 62.07 |==================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better R . 231.22 |================================================================ B . 243.61 |=================================================================== C . 242.12 |=================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better R . 10.53 |=================================================================== B . 10.65 |==================================================================== C . 10.62 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better R . 10.33 |=================================================================== B . 10.47 |==================================================================== C . 10.40 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better R . 10.18 |=================================================================== B . 10.30 |==================================================================== C . 10.29 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better R . 10.00 |=================================================================== B . 10.10 |==================================================================== C . 10.08 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better R . 0.86 |==================================================================== B . 0.87 |===================================================================== C . 0.86 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better R . 0.84 |==================================================================== B . 0.85 |===================================================================== C . 0.83 |=================================================================== OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better R . 171.69 |=================================================================== B . 170.99 |=================================================================== C . 171.23 |=================================================================== OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better R . 123.09 |=================================================================== B . 118.73 |================================================================= C . 118.28 |================================================================ OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better R . 308.06 |=================================================================== B . 307.35 |=================================================================== C . 308.19 |=================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better R . 240.12 |================================================================ B . 250.66 |=================================================================== C . 247.38 |================================================================== OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better R . 773.23 |=================================================================== B . 774.07 |=================================================================== C . 740.95 |================================================================ TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better R . 79.97 |================================================================== B . 82.24 |==================================================================== C . 82.26 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better R . 111.34 |================================================================= B . 114.35 |=================================================================== C . 113.81 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better R . 135.48 |================================================================== B . 137.02 |=================================================================== C . 136.63 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better R . 164.34 |=================================================================== B . 163.34 |=================================================================== C . 161.55 |================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better R . 174.50 |=================================================================== B . 175.41 |=================================================================== C . 171.68 |================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better R . 62.79 |================================================================== B . 64.34 |==================================================================== C . 63.92 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better R . 19.98 |==================================================================== B . 20.09 |==================================================================== C . 20.00 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better R . 64.11 |=================================================================== B . 65.12 |==================================================================== C . 64.76 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better R . 21.30 |==================================================================== B . 21.36 |==================================================================== C . 21.32 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better R . 65.22 |==================================================================== B . 65.61 |==================================================================== C . 65.36 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better R . 22.02 |==================================================================== B . 22.11 |==================================================================== C . 22.06 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better R . 67.02 |==================================================================== B . 66.90 |==================================================================== C . 66.59 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better R . 22.19 |==================================================================== B . 22.33 |==================================================================== C . 22.20 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better R . 67.97 |==================================================================== B . 68.15 |==================================================================== C . 67.61 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 9.0605 |=================================================================== B . 9.0810 |=================================================================== C . 9.1082 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 441.46 |=================================================================== B . 440.47 |=================================================================== C . 439.15 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 111.44 |=================================================================== B . 111.04 |=================================================================== C . 111.08 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 36.38 |==================================================================== B . 36.38 |==================================================================== C . 36.39 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 43.65 |==================================================================== B . 43.49 |==================================================================== C . 43.50 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 22.90 |==================================================================== B . 22.99 |==================================================================== C . 22.98 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 50.99 |==================================================================== B . 50.90 |==================================================================== C . 50.90 |==================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better R . 22.11 |==================================================================== B . 21.60 |================================================================== C . 21.61 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 8.9730 |=================================================================== B . 9.0052 |=================================================================== C . 9.0021 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 78.42 |==================================================================== B . 78.57 |==================================================================== C . 78.57 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 49.86 |==================================================================== B . 49.88 |==================================================================== C . 49.91 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 20.05 |==================================================================== B . 20.04 |==================================================================== C . 20.03 |==================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B Seconds < Lower Is Better R . 49.26 |==================================================================== B . 47.79 |================================================================== C . 47.89 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 109.92 |=================================================================== B . 109.93 |=================================================================== C . 109.90 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 157.73 |================================================================== B . 158.99 |=================================================================== C . 157.96 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 25.34 |==================================================================== B . 25.14 |=================================================================== C . 25.31 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 133.74 |=================================================================== B . 133.50 |================================================================== C . 134.59 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 7.4694 |=================================================================== B . 7.4830 |=================================================================== C . 7.4230 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 81.10 |==================================================================== B . 81.20 |==================================================================== C . 81.19 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 49.31 |==================================================================== B . 49.25 |==================================================================== C . 49.26 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 68.60 |==================================================================== B . 69.00 |==================================================================== C . 69.00 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 14.57 |==================================================================== B . 14.49 |==================================================================== C . 14.49 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 41.57 |==================================================================== B . 41.49 |==================================================================== C . 41.52 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 96.20 |==================================================================== B . 96.40 |==================================================================== C . 96.34 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 35.25 |=================================================================== B . 35.49 |==================================================================== C . 35.52 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 28.36 |==================================================================== B . 28.17 |==================================================================== C . 28.15 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better R . 9.2229 |=================================================================== B . 9.2173 |=================================================================== C . 9.1853 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better R . 433.69 |=================================================================== B . 433.95 |=================================================================== C . 435.46 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better R . 9.0942 |=================================================================== B . 9.0635 |=================================================================== C . 9.0676 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better R . 109.95 |=================================================================== B . 110.33 |=================================================================== C . 110.28 |=================================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better R . 15541 |==================================================================== B . 15611 |==================================================================== C . 15633 |==================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better R . 1720 |=================================================================== B . 1712 |=================================================================== C . 1773 |===================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 4.71254 |================================================================== B . 3.98652 |======================================================== C . 4.00689 |======================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 11.31690 |================================================================= B . 8.46042 |================================================= C . 8.53563 |================================================= oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 0.926832 |================================================================= B . 0.703754 |================================================= C . 0.713951 |================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 3.28397 |================================================================== B . 2.49976 |================================================== C . 2.57821 |==================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 8.59836 |================================================================== B . 8.53346 |================================================================== C . 8.53868 |================================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 5.68891 |================================================================== B . 4.07155 |=============================================== C . 4.23034 |================================================= oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 14.26 |==================================================================== B . 13.90 |================================================================== C . 13.86 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 8.69702 |================================================================== B . 8.47221 |================================================================ C . 8.57504 |================================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 4.83377 |================================================================== B . 4.33336 |=========================================================== C . 4.33209 |=========================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 11.96 |==================================================================== B . 11.76 |=================================================================== C . 11.73 |=================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 0.829915 |================================================================= B . 0.826120 |================================================================= C . 0.826113 |================================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 1.41208 |============================================================== B . 1.49412 |================================================================== C . 1.49436 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 3439.77 |================================================================== B . 3006.68 |========================================================== C . 2946.72 |========================================================= oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 1991.26 |================================================================== B . 1648.95 |======================================================= C . 1663.43 |======================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 3427.38 |================================================================== B . 2911.63 |======================================================== C . 2989.27 |========================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 16.17 |==================================================================== B . 16.16 |==================================================================== C . 16.16 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 20.15 |==================================================================== B . 20.14 |==================================================================== C . 20.14 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 17.71 |==================================================================== B . 17.31 |================================================================== C . 17.24 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 1991.40 |================================================================== B . 1733.25 |========================================================= C . 1630.41 |====================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better R . 3.20490 |================================================================== B . 3.17482 |================================================================= C . 3.16436 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 3408.79 |================================================================== B . 2903.36 |======================================================== C . 2994.42 |========================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 1980.74 |================================================================== B . 1681.81 |======================================================== C . 1631.25 |====================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better R . 1.26054 |================================================================= B . 1.28257 |================================================================== C . 1.28270 |================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better R . 3.47145 |================================================================= B . 3.50041 |================================================================== C . 3.49109 |================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 0.22 |===================================================================== B . 0.22 |===================================================================== C . 0.22 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 6.66 |===================================================================== B . 6.70 |===================================================================== C . 6.69 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 33.78 |=================================================================== B . 34.38 |==================================================================== C . 34.40 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 12.09 |==================================================================== B . 12.17 |==================================================================== C . 12.13 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 46.37 |================================================================== B . 48.04 |==================================================================== C . 47.96 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 60.14 |================================================================ B . 64.08 |==================================================================== C . 63.06 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better R . 60.50 |================================================================ B . 63.86 |=================================================================== C . 64.54 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 0.67 |===================================================================== B . 0.67 |===================================================================== C . 0.67 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 16.87 |==================================================================== B . 16.93 |==================================================================== C . 16.92 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 68.53 |=============================================================== B . 73.42 |==================================================================== C . 71.25 |================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 41.50 |==================================================================== B . 41.65 |==================================================================== C . 41.68 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 123.87 |================================================================== B . 125.54 |=================================================================== C . 125.61 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 148.90 |================================================================== B . 151.77 |=================================================================== C . 152.17 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better R . 150.57 |================================================================= B . 154.03 |=================================================================== C . 152.96 |=================================================================== libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better R . 144.98 |=================================================================== B . 144.91 |=================================================================== C . 145.58 |=================================================================== libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better R . 68.73 |==================================================================== B . 68.62 |==================================================================== C . 68.60 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better R . 7.013 |==================================================================== B . 6.893 |=================================================================== C . 7.025 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better R . 10.70 |==================================================================== B . 10.66 |==================================================================== C . 10.67 |==================================================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better R . 5.054 |==================================================================== B . 5.027 |==================================================================== C . 5.033 |==================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 4K FPS > Higher Is Better R . 14.14 |==================================================================== B . 14.21 |==================================================================== C . 14.17 |==================================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 4K FPS > Higher Is Better R . 3.74 |===================================================================== B . 3.74 |===================================================================== C . 3.73 |===================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 4K FPS > Higher Is Better R . 3.20 |===================================================================== B . 3.22 |===================================================================== C . 3.20 |===================================================================== QuadRay 2022.05.25 Scene: 5 - Resolution: 4K FPS > Higher Is Better R . 0.95 |===================================================================== B . 0.94 |==================================================================== C . 0.94 |==================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 1080p FPS > Higher Is Better R . 53.45 |==================================================================== B . 53.38 |==================================================================== C . 52.98 |=================================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 1080p FPS > Higher Is Better R . 14.10 |==================================================================== B . 14.01 |==================================================================== C . 14.06 |==================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 1080p FPS > Higher Is Better R . 12.26 |==================================================================== B . 12.28 |==================================================================== C . 12.26 |==================================================================== QuadRay 2022.05.25 Scene: 5 - Resolution: 1080p FPS > Higher Is Better R . 3.73 |==================================================================== B . 3.79 |===================================================================== C . 3.77 |=====================================================================