12600k 2023 intel alder lake

Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302147-PTS-12600K2062
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 2 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 6 Tests
Creator Workloads 12 Tests
Database Test Suite 3 Tests
Encoding 6 Tests
Game Development 2 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 3 Tests
Multi-Core 13 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 4 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 3 Tests
Server 3 Tests
Server CPU Tests 5 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 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
a
February 13 2023
  4 Hours, 15 Minutes
b
February 13 2023
  4 Hours, 16 Minutes
c
February 13 2023
  4 Hours, 15 Minutes
Invert Hiding All Results Option
  4 Hours, 15 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):


12600k 2023 intel alder lake Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b","c" Processor,,Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads),Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads),Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads) Motherboard,,ASUS PRIME Z690-P WIFI D4 (0605 BIOS),ASUS PRIME Z690-P WIFI D4 (0605 BIOS),ASUS PRIME Z690-P WIFI D4 (0605 BIOS) Chipset,,Intel Device 7aa7,Intel Device 7aa7,Intel Device 7aa7 Memory,,16GB,16GB,16GB Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0 Graphics,,ASUS Intel ADL-S GT1 15GB (1450MHz),ASUS Intel ADL-S GT1 15GB (1450MHz),ASUS Intel ADL-S GT1 15GB (1450MHz) Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897 Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,Realtek RTL8125 2.5GbE + Intel Device 7af0,Realtek RTL8125 2.5GbE + Intel Device 7af0,Realtek RTL8125 2.5GbE + Intel Device 7af0 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.19.0-051900rc6daily20220716-generic (x86_64),5.19.0-051900rc6daily20220716-generic (x86_64),5.19.0-051900rc6daily20220716-generic (x86_64) Desktop,,GNOME Shell 42.1,GNOME Shell 42.1,GNOME Shell 42.1 Display Server,,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1 OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0 Vulkan,,1.2.204,1.2.204,1.2.204 Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,3840x2160,3840x2160,3840x2160 ,,"a","b","c" "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1253.26,1247.27,1247.42 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,1062.291,1062.775,1062.866 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,221849,221135,222429 "FluidX3D - Test: FP32-FP16C (MLUPs/s)",HIB,294,294,294 "FluidX3D - Test: FP32-FP32 (MLUPs/s)",HIB,312,312,312 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,98,98,98 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,383.98,383.36,383.83 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,176,176,175 "FluidX3D - Test: FP32-FP16S (MLUPs/s)",HIB,508,498,499 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,317.65,318.41,319.49 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,170.82,172.43,171.84 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,171.51,172.35,163.56 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,153.25,152.82,150.99 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,0.975,0.978,0.96 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,157.62,158.09,157.9 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,3.835,3.826,3.816 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,108.75,108.73,109.01 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,7.23,7.26,7.25 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,44237.1,44047.1,43929.4 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,53622.6,53329.2,53689.5 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,73875.4,73935.7,73700.7 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,56929.9,56545.9,56896.1 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,1.71589,1.754839,1.749982 "CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,412.1,407.7,412.4 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,6.17,6.17,6.18 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4404.2,4396.82,4397.11 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4401.46,4398.13,4402.72 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,4396.69,4403.6,4406.49 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,6.97,6.98,6.97 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.24,0.24,0.24 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,2.0788,2.078314,2.07811 "ET: Legacy - Resolution: 3840 x 2160 (FPS)",HIB,38.7,38.7,38.7 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,83.006,83.073,82.7 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2162.76,2163.54,2162.36 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2161.41,2163.06,2160.62 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2159.93,2160.83,2158.91 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1728.1,1720.7,1729 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,9.2,9.21,9.22 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,8.133,8.227,8.165 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1809.4,1814,1817.2 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,15.8,15.8,15.8 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,623.5844,624.2093,623.6993 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,7.8994,7.8807,7.889 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2255.62,2253.25,2251.89 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,1.75,1.75,1.75 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2256.65,2253.13,2251.1 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,1.74,1.75,1.75 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1494.59,1496.41,1492.29 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,2.67,2.67,2.67 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,624.3919,625.837,626.5951 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,7.8816,7.8447,7.8521 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,2036.5,2065.7,2069.1 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,97,95.9,96.5 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,2079.9,2061.3,2064.4 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,220.8,225.8,225.4 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,9.57,9.59,9.59 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,151.8101,152.8179,154.0775 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,32.9018,32.7004,32.3894 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,398.58,398.69,398.56 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,10.01,10,10.01 "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,1936.3,1918.1,1921.9 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,1873.1,1869.4,1844.8 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,2.709695,2.739379,2.731158 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,126.99,126.67,126.62 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,31.46,31.57,31.56 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,1956.6,1952.3,1953.8 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,972.3,950,977.3 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,2065.8,2070.4,2070.2 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,221.2,221.1,221.7 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,445.9965,442.7834,444.2075 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,11.0088,11.1224,11.0764 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,9.85,9.87,9.87 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.03,11.06,11.1 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,362.19,361.3,360.04 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,51.54,51.54,14.28 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,193.79,193.69,279.92 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.28,8.28,8.28 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,482.44,482.26,482.51 "RocksDB - Test: Random Fill Sync (Op/s)",HIB,14849,14631,14657 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,19.71,19.53,19.58 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,202.76,204.69,204.06 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,13.62,13.37,13.39 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,729.74,743.26,742.24 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.49,1.5,1.5 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,6331.79,6334,6315.81 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.66,1.67,1.67 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,5690.26,5674.99,5657.6 "RocksDB - Test: Random Fill (Op/s)",HIB,965627,962203,964297 "RocksDB - Test: Update Random (Op/s)",HIB,608982,600126,609355 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2016456,2004326,2012487 "RocksDB - Test: Read While Writing (Op/s)",HIB,2058765,2060652,2095257 "RocksDB - Test: Random Read (Op/s)",HIB,72263080,69770221,72249376 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,12.61,12.72,12.7 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,10.339,10.3,10.322 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,13.3676,13.4888,13.3968 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,3.149404,3.149566,3.143371 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.104,3.107,3.101 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,14.8626,14.8798,14.8443 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,12.4931,12.6777,12.7628 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,48.1585,48.4033,48.1215 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,103.7782,103.1231,103.797 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,13.6924,13.8928,13.8749 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,97.2953,95.7141,97.354 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,10.2767,10.4465,10.2706 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,14.7651,14.5409,14.7722 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,164.1839,163.8528,162.1405 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,30.4491,30.4415,30.8202 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.2914,76.4932,77.485 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,64.5366,65.3163,64.5105 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 512 (Render Ratio)",HIB,3.889646,3.880546,3.875918 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,137.0849,137.3572,136.9847 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.2945,7.2801,7.2999 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,137.7301,138.6285,138.2763 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.2603,7.2133,7.2317 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,36.003,36.4446,36.781 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,27.7729,27.4362,27.1854 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,3.908665,3.945383,3.950512 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,17.35,17.56,17.57 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,48.9631,48.805,48.2816 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,20.4204,20.4864,20.7085 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,16.4828,16.7871,16.8782 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,60.6442,59.5454,59.2239 "ET: Legacy - Resolution: 2560 x 1440 (FPS)",HIB,86.6,86.5,86 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,101.7894,106.2304,102.6579 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,49.0879,47.0245,48.6112 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,4.314579,4.305519,4.303267 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,4.323681,4.322518,4.325328 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,16.9962,17.1735,17.0295 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,47.1741,48.9594,47.3381 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,105.937,102.0024,105.531 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.6379,18.6237,18.6357 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,53.6439,53.6853,53.6502 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,25.2119,25.324,25.1713 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,39.6497,39.4768,39.7169 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,13.575,13.5656,13.6394 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,73.6369,73.6905,73.2926 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,20.27,20.26,20.27 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.71,0.71,0.71 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,21.32,21.3,21.29 "ET: Legacy - Resolution: 1920 x 1200 (FPS)",HIB,138.2,138.4,138.5 "ET: Legacy - Resolution: 1920 x 1080 (FPS)",HIB,150.3,153.6,154.2 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,24.45,24.43,24.47 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,25.026,24.793,24.898 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,25.88,25.87,25.91 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.91932,9.47685,9.46418 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.09006,2.08938,2.09892 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,30.4,30.48,30.5 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,32.35,32.58,32.42 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,41.27,41.47,41.32 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,9.676,9.685,9.91 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,36.13,36.22,36.09 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,39.815,39.818,39.927 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.9067,3.89382,3.91022 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.46294,1.46343,1.48795 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,41.39,41.5,41.64 "RocksDB - Test: Sequential Fill (Op/s)",HIB,1148744,1196791,1099266 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,47.65,47.58,47.71 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,49.71,49.53,49.36 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,2.70187,2.68101,2.71814 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.08664,0.990775,0.984883 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,61.03,56.44,63.33 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.7264,10.6975,10.7289 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.30066,2.28589,2.28705 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,70.59,72.39,73.29 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,67.61,79.57,79.17 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,74.26,78.4,79.72 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,90.14,90.19,90.15 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,96.61,96.43,96.83 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,14.4491,14.4644,14.4837 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12.5483,12.4824,12.5808 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,99.79,100.63,100.6 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,114.113,119.147,117.339 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,110.063,111.078,111.574 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,116.91,117.05,117.58 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,130.632,135.917,135.244 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,129.89,130.22,129.44 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,136.63,140.24,163.64 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,164.98,163.82,149.7 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,161.35,163.6,161.69 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,166.34,172.61,169.95 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,175.08,177.32,176.51 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.00328,7.99647,7.99461 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.97547,2.98663,2.97941 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,470,482.179,483.264 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,521.729,520.742,517.393 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,