Linux 6.6 Intel Core i9 13900K Raptor Lake

Intel Core i9-13900K Linux 6.4 / 6.5 / 6.6 Git benchmarks by Michael Larabel

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2309136-PTS-LINUX66R72
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 3 Tests
Web Browsers 1 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 11 Tests
CPU Massive 15 Tests
Creator Workloads 20 Tests
Database Test Suite 2 Tests
Encoding 10 Tests
Game Development 3 Tests
HPC - High Performance Computing 2 Tests
Imaging 6 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 2 Tests
Multi-Core 16 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Server 5 Tests
Server CPU Tests 14 Tests
Single-Threaded 7 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 6.4.14
September 10 2023
  6 Hours, 7 Minutes
Linux 6.5.1
September 10 2023
  8 Hours, 34 Minutes
Linux 6.6-rc1
September 11 2023
  7 Hours, 9 Minutes
Invert Hiding All Results Option
  7 Hours, 17 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Linux 6.6 Intel Core i9 13900K Raptor Lake Intel Core i9-13900K Linux 6.4 / 6.5 / 6.6 Git benchmarks by Michael Larabel ,,"Linux 6.4.14","Linux 6.5.1","Linux 6.6-rc1" Processor,,Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads),Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads),Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads) Motherboard,,ASUS PRIME Z790-P WIFI (0812 BIOS),ASUS PRIME Z790-P WIFI (0812 BIOS),ASUS PRIME Z790-P WIFI (0812 BIOS) Chipset,,Intel Device 7a27,Intel Device 7a27,Intel Device 7a27 Memory,,32GB,32GB,32GB Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0 Graphics,,AMD Radeon RX 7700S/7600S/7600M XT 8GB (1940/1124MHz),AMD Radeon RX 7700S/7600S/7600M XT 8GB (1940/1124MHz),AMD Radeon RX 7700S/7600S/7600M XT 8GB (1940/1124MHz) Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897 Monitor,,ASUS VP28U,ASUS VP28U,ASUS VP28U OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.4.14-060414-generic (x86_64),6.5.1-060501-generic (x86_64),6.6.0-060600rc1-generic (x86_64) Desktop,,GNOME Shell 42.9,GNOME Shell 42.9,GNOME Shell 42.9 Display Server,,X Server 1.21.1.4 + Wayland,X Server 1.21.1.4 + Wayland,X Server 1.21.1.4 + Wayland OpenGL,,4.6 Mesa 23.3~git2308070600.777734~oibaf~j (git-7777349 2023-08-07 jammy-oibaf-ppa) (LLVM 15.0.7 DRM 3.52),4.6 Mesa 23.3~git2308070600.777734~oibaf~j (git-7777349 2023-08-07 jammy-oibaf-ppa) (LLVM 15.0.7 DRM 3.54),4.6 Mesa 23.3~git2308070600.777734~oibaf~j (git-7777349 2023-08-07 jammy-oibaf-ppa) (LLVM 15.0.7 DRM 3.54) OpenCL,,OpenCL 1.1 Mesa 23.3~git2308020600.4de7e0~oibaf~j (git-4de7e00 2023-08-02 jammy-oibaf-ppa) + OpenCL 3.0,OpenCL 1.1 Mesa 23.3~git2308020600.4de7e0~oibaf~j (git-4de7e00 2023-08-02 jammy-oibaf-ppa) + OpenCL 3.0,OpenCL 1.1 Mesa 23.3~git2308020600.4de7e0~oibaf~j (git-4de7e00 2023-08-02 jammy-oibaf-ppa) + OpenCL 3.0 Vulkan,,1.3.258,1.3.258,1.3.258 Compiler,,GCC 11.4.0 + Clang 16.0.6 + LLVM 16.0.6,GCC 11.4.0 + Clang 16.0.6 + LLVM 16.0.6,GCC 11.4.0 + Clang 16.0.6 + LLVM 16.0.6 File-System,,ext4,ext4,ext4 Screen Resolution,,3840x2160,3840x2160,3840x2160 ,,"Linux 6.4.14","Linux 6.5.1","Linux 6.6-rc1" "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,309.276,350.227,310.104 "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,95.211,95.084,112.562 "John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,69673333,57671917,63281250 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,156.158,173.265,156.878 "John The Ripper - Test: MD5 (Real C/S)",HIB,1838000,1598714,1648967 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,627.0945,706.2146,635.3426 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.9839,16.8019,18.7263 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,8.99,9.12,13.2 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 4K (FPS)",HIB,5.41,4.91,5.44 "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,241.302,233.767,243.408 "John The Ripper - Test: Blowfish (Real C/S)",HIB,39743,31828,37496 "nginx - Connections: 200 (Reqs/sec)",HIB,195256.70,176902.95,192417.90 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,7.594,6.958,7.607 "Selenium - Benchmark: Octane - Browser: Google Chrome (Geometric Mean)",HIB,113361,108124,114315 "nginx - Connections: 1000 (Reqs/sec)",HIB,178781.88,159455.41,181548.67 "nginx - Connections: 500 (Reqs/sec)",HIB,191291.62,171679.65,191326.52 "nginx - Connections: 100 (Reqs/sec)",HIB,194643.92,173181.72,191219.52 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,44.032,48.127,44.009 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,56.5384,62.5842,56.0735 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,211.9237,191.4416,213.6458 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,35.381,38.534,35.582 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,203,227,202 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,81.66,89.90,81.12 "simdjson - Throughput Test: Kostya (GB/s)",HIB,5.37,5.31,5.31 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.118,4.570,5.079 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,44.4,49.7,44.5 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.91,1.91,1.91 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,49.3,53.8,49.2 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,73.138,78.028,73.428 "PyPerformance - Benchmark: float (Milliseconds)",LIB,46.3,50.7,45.5 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,80.3,85.4,80.4 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,18.31,16.34,17.96 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2356.13,2638.93,2354.17 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,3.34,2.99,3.33 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2376.85,2659.28,2358.66 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,3.30,2.95,3.32 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1530.67,1732.57,1527.69 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,5.21,4.56,5.22 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,480.58,537.88,472.84 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,16.54,14.82,16.84 "Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,382.751,367.902,377.057 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,134.10,147.34,133.02 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,59.60,54.23,60.06 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,59.09,64.84,58.80 "Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,4341185.0,4091086.13,4207756.96 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,28.6116,31.6750,28.5176 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,418.8814,378.5261,420.3307 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,136248,121434,135435 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,181036,161199,179477 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.57,12.66,11.91 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,690.48,630.92,666.94 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,56.34,62.12,55.47 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,425.19,385.73,431.89 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,9.15,10.23,9.22 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,872.96,781.75,854.42 "John The Ripper - Test: bcrypt (Real C/S)",HIB,39253,31839,38225 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,6.84,6.84,6.83 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,21.96,25.18,22.17 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,363.88,317.31,359.56 "Redis - Test: SADD - Parallel Connections: 50 (Reqs/sec)",HIB,4825673.1,4320145.38,4814183.7 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,16.10,17.95,16.02 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1490.03,1335.97,1497.35 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.57,1.73,1.56 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,15213.23,13817.99,15347.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.72,1.88,1.70 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,13875.03,12689.87,14053.46 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,8.1,8.1,8.09 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,7.87,7.88,7.88 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,571.4478,664.9009,564.1260 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,20.8822,17.8768,21.0894 "Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,399,400,398 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,189,207,190 "PyPerformance - Benchmark: go (Milliseconds)",LIB,108,117,108 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,48.98,43.40,47.18 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,13.18,11.93,13.28 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,51.10,45.91,50.28 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,218.6991,244.9493,215.1177 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,54.6711,48.8254,55.5626 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,769.8651,828.7640,765.2426 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,15.5228,14.2462,15.6165 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,67.5296,77.3031,67.1375 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,177.5103,155.0658,178.5691 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,184.5694,207.7868,183.5038 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,64.9142,57.6708,65.2007 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,763.8168,824.9693,759.0957 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,15.5909,14.3944,15.7495 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,15.403,13.255,14.842 "Selenium - Benchmark: Octane - Browser: Firefox (Geometric Mean)",HIB,57866,55011,58047 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,1.3386,1.2359,1.3600 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,40.58,36.23,40.48 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,91.4992,102.0895,91.6955 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,131.0559,117.4405,130.7895 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,122.3752,135.8479,122.3300 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,98.0197,87.9345,98.0054 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,39.78,35.72,38.69 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,124.2028,137.6621,124.2673 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,96.3272,86.9965,96.4148 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,55.2824,60.6204,54.8862 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,217.0101,197.8312,218.5022 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,54.8649,60.6321,54.8408 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,218.5281,197.8313,218.6929 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,8.6853,9.5956,8.6225 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1380.0453,1248.9354,1390.0340 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,43.063,37.673,40.929 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,96.89,88.81,82.99 "PHPBench - PHP Benchmark Suite (Score)",HIB,1608855,1473031,1641215 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.93,0.88,0.93 "Redis - Test: LPOP - Parallel Connections: 50 (Reqs/sec)",HIB,6527019.8,3608927.58,3574286.00 "RawTherapee - Total Benchmark Time (sec)",LIB,32.811,33.495,33.657 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,21.386,18.823,21.025 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,20.9,23.3,21.0 "Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,441,440,437 "Git - Time To Complete Common Git Commands (sec)",LIB,32.053,32.062,31.986 "AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K (FPS)",HIB,111.35,108.21,103.07 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,31.268,31.137,30.835 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,90.94,83.39,79.37 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,58478,50665,58861 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,21.09,19.09,21.37 "Selenium - Benchmark: PSPDFKit WASM - Browser: Google Chrome (Score)",LIB,2354,2357,2355 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,154,154,159 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,14.948,13.277,14.415 "Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,2161,2158,2164 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,8.74,8.78,8.78 "Redis - Test: LPUSH - Parallel Connections: 50 (Reqs/sec)",HIB,3673940.00,3712129.75,3842480.21 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,96.82,89.44,96.09 "libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,308.833302,309.220574,309.547454 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,179.61,176.38,181.58 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,69.36,62.04,70.21 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,32.24,29.39,32.45 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,135.00,96.35,105.29 "GIMP - Test: resize (sec)",LIB,12.937,12.839,13.189 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,513.9,505.1,508.1 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,9.244,9.652,9.179 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,70.72,63.70,66.27 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,14.4892,15.0178,14.8217 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,11.7,11.8,11.7 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,57.4,64.3,57.3 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,51.37,48.34,50.42 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,150.17,141.05,152.80 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,37.05,32.96,35.89 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,195.12,127.68,123.90 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,3.768,3.768,3.617 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,11.082,11.156,11.043 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,132.886,128.519,132.919 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,115.95,105.82,99.98 "Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,6372860.8,5409166.1,5432508.7 "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,351.0,355.3,354.2 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,120.36,99.15,102.07 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,3.534,3.773,3.559 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,149.07,100.67,106.17 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,86.16,84.27,85.24 "ASTC Encoder - Preset: Fast (MT/s)",HIB,336.8333,339.5478,337.7643 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,222.0,222.3,222.6 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,229.52,242.99,247.18 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,176.666,171.524,178.672 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,5.378,6.081,5.336 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,284.70,284.51,301.06 "GIMP - Test: unsharp-mask (sec)",LIB,12.248,11.906,12.215 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,188.74,162.10,173.19 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,282.35,290.39,296.54 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,295.13,296.42,285.01 "PyBench - Total For Average Test Times (Milliseconds)",LIB,456,454,453 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,209.30,186.74,194.68 "GIMP - Test: auto-levels (sec)",LIB,10.561,10.274,10.607 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,2.35,2.34,2.34 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,151.72,123.50,138.54 "GIMP - Test: rotate (sec)",LIB,9.806,9.467,9.696 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,398.57,368.11,400.14 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,73.421,63.283,74.361 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,14.9,14.9,14.9 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,267.56,263.42,283.47 "AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p (FPS)",HIB,295.92,305.18,300.50 "Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,2.076,1.944,2.057 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,457.51,456.32,486.87 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,453.70,460.39,494.53 "ASTC Encoder - Preset: Medium (MT/s)",HIB,120.0901,122.1162,120.4938 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,14.61,14.63,14.60 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,101.78,103.95,101.69 "Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,2.084,2.002,2.070 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,155.33,139.82,139.94 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,186.331,180.877,179.803 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,5.16,5.17,5.16 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,635.86,583.51,669.40 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,260.80,246.33,246.36 "Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.102,0.094,0.106 "Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,1.548,1.535,1.558 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,518.133,509.356,511.298 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,16.59,16.60,16.58 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,582.209,564.988,582.351 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,25.65,25.80,25.83