12400 nnn

Intel Core i5-12400 testing with a MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) and MSI Intel ADL-S GT1 14GB 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 2209127-NE-12400NNN983
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
Show Result Confidence Charts

Limit displaying results to tests within:

Timed Code Compilation 5 Tests
C/C++ Compiler Tests 7 Tests
Compression Tests 2 Tests
CPU Massive 10 Tests
Creator Workloads 11 Tests
Database Test Suite 6 Tests
Encoding 2 Tests
Game Development 2 Tests
HPC - High Performance Computing 4 Tests
Imaging 4 Tests
Machine Learning 3 Tests
Multi-Core 14 Tests
NVIDIA GPU Compute 2 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 2 Tests
Renderers 2 Tests
Server 6 Tests
Server CPU Tests 5 Tests
Single-Threaded 3 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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
A
September 11 2022
  1 Day, 7 Hours, 59 Minutes
B
September 11 2022
  1 Day, 7 Hours, 2 Minutes
C
September 12 2022
  1 Day, 6 Hours, 42 Minutes
Invert Hiding All Results Option
  1 Day, 7 Hours, 14 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):


12400 nnn Intel Core i5-12400 testing with a MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) and MSI Intel ADL-S GT1 14GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"A","B","C" Processor,,Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads),Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads),Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads) Motherboard,,MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS),MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS),MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) Chipset,,Intel Device 7aa7,Intel Device 7aa7,Intel Device 7aa7 Memory,,16GB,16GB,16GB Disk,,Western Digital WD_BLACK SN750 SE 500GB,Western Digital WD_BLACK SN750 SE 500GB,Western Digital WD_BLACK SN750 SE 500GB Graphics,,MSI Intel ADL-S GT1 14GB (1450MHz),MSI Intel ADL-S GT1 14GB (1450MHz),MSI Intel ADL-S GT1 14GB (1450MHz) Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897 Monitor,,DELL S2409W,DELL S2409W,DELL S2409W Network,,Intel I225-V + Intel Device 7af0,Intel I225-V + Intel Device 7af0,Intel I225-V + Intel Device 7af0 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.15.0-40-generic (x86_64),5.15.0-40-generic (x86_64),5.15.0-40-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1 Vulkan,,1.2.204,1.2.204,1.2.204 Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"A","B","C" "Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,7.005,6.933,6.976 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,205.8,206.7,206.2 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,108.9,108.9,109.1 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,253.4,253.2,253.5 "C-Blosc - Test: blosclz shuffle (MB/s)",HIB,14819.2,14987.7,14905.8 "C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,8710.1,8863.5,8812.3 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,6.345,6.444,6.443 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,6.525,6.557,6.564 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,17.80,17.83,17.82 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,11.48,11.48,11.49 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.61,1.60,1.61 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.57,3.56,3.56 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.63,0.61,0.64 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,5.83,5.82,5.85 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.10,0.09,0.10 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.05,0.05,0.04 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,2.91,2.84,2.93 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.01,0.01,0.01 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,146700000,153000000,152200000 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,441.8,446,447.3 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,127.1,127.6,127.4 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,448.4,451.8,449.3 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,160.2,160.3,160.5 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,494.5,492.9,491.3 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,144.8,145.1,145.1 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,500,494.4,499.9 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,176.4,176.7,176.9 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,156.1,158.5,157.6 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,73.3,73.3,73.3 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,389,376,382 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,924,989,990 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,107,101,101 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,169,174,172 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,796,822,806 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,217,219,219 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,900,944,941 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,1.517,1.517,1.521 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,28.3,30.993,30.921 "SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 4K (FPS)",HIB,59.624,61.623,62.08 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,86.724,87.536,87.625 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,5.259,5.213,5.249 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,86.348,86.895,85.996 "SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 1080p (FPS)",HIB,192.229,192.991,191.451 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,334.028,338.081,335.935 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,53070,52989,53168 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,39968,40510,40328 "Timed Node.js Compilation - Time To Compile (sec)",LIB,763.056,762.626,764.183 "Timed PHP Compilation - Time To Compile (sec)",LIB,69.99,70.659,70.16 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,19.883,19.709,19.801 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,245.384,246.62,248.575 "Primesieve - Length: 1e12 (sec)",LIB,28.664,28.625,28.594 "Primesieve - Length: 1e13 (sec)",LIB,342.255,342.685,343.387 "Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,110.923,111.604,111.057 "Timed Wasmer Compilation - Time To Compile (sec)",LIB,71.499,70.764,72.283 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,16.061,16.805,16.137 "Aircrack-ng - (k/s)",HIB,23816.457,22726.613,23834.895 "ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,111.96,111.76,112.78 "ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,130.37,125.64,128.47 "ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,126.64,129.40,131.32 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 30 (sec)",LIB,90.286,89.184,89.697 "Apache CouchDB - Bulk Size: 100 - Inserts: 3000 - Rounds: 30 (sec)",LIB,279.666,281.696,281.5 "Apache CouchDB - Bulk Size: 300 - Inserts: 1000 - Rounds: 30 (sec)",LIB,195.555,168.263,172.755 "Apache CouchDB - Bulk Size: 300 - Inserts: 3000 - Rounds: 30 (sec)",LIB,1077.45,1324.698, "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3291442.71,3292038.33,3356477.98 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3540006.65,3504814.41,3496653.75 "Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,3234764.7,3180042.72,3177766.6 "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2893948.93,2956169.14,2768715.57 "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3069817.74,3063805,3098427.56 "Dragonflydb - Clients: 200 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2780403.66,2785310.85,2807087.71 "Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,4043025.5,3893544.25,3923159.5 "Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,3061154.5,3047720,3088000 "Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,3896578.5,3902966,3894757.25 "Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,3057410.75,3090099.25,3081719.25 "Redis - Test: GET - Parallel Connections: 1000 (Reqs/sec)",HIB,3450479.25,3515495.75,3218151.75 "Redis - Test: SET - Parallel Connections: 1000 (Reqs/sec)",HIB,3036378.5,3075085.75,3070176.75 "ASTC Encoder - Preset: Fast (MT/s)",HIB,118.614,118.6105,118.6404 "ASTC Encoder - Preset: Medium (MT/s)",HIB,46.418,46.4256,46.4237 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,6.1356,6.1364,6.136 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,0.5585,0.5581,0.5579 "Inkscape - Operation: SVG Files To PNG (sec)",LIB,21.07,21.123,20.973 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2556576.02,2182172.4,2256323.36 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2533010.01,2437654.47,2383162.78 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2216344.47,2191068.09,2152632.21 "memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2190464.39,1906142.21,2207607.06 "memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2371007.82,2290690.91,2309526.13 "memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2078165.77,2053903.96,1789262.36 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2394979.44,2448790.7,2521142.28 "memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2471856.79,2260720.03,2291270.04 "memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2379834,2388167.67,2590307.9 "memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2147254.39,2291531.98,2179047.93 "memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2361490.32,2323372.49,2380367.36 "memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2550490.86,2652882.35,2437392.24 "Mobile Neural Network - Model: nasnet (ms)",LIB,8.802,8.89,8.957 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.043,1.037,1.047 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.358,2.366,2.377 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,21.752,21.517,21.735 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,3.74,3.763,3.796 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,2.195,2.197,2.211 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.065,3.044,3.065 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,25.743,25.756,25.864 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,12.24,12.21,12.3 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,3.14,3.2,3.17 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.57,2.6,2.64 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.73,2.79,2.76 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.54,2.59,2.58 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,5.41,5.49,5.45 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.82,0.83,0.83 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,10.31,10.46,10.41 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,51.2,51.02,51.25 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,9.97,10.32,10.34 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.1,8.08,8.1 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,18.73,18.71,18.75 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,21.55,21.48,21.33 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,15.08,15.02,15.15 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,7.66,7.79,7.79 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,200.29,200.59,200.92 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,3.32,3.32,3.34 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,640.1,639.19,642.89 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,198.49,198.31,198.5 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,167.56,167.14,167.03 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,106.33,106.46,106.47 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,205.01,205.14,204.35 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,293.29,292.26,292.89 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,49.09,48.74,48.81 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,545.67,545.92,543.95 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,2831.92,2841.52,2863.52 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,514.12,515.34,516.93 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,537.52,537.72,536.66 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,1362.23,1366.64,1367.26 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,898.18,903.06,906.5 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,492.08,495.99,497.79 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,266.42,266.93,267.27 "NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,7493.77,7491.53,7496.91 "NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,97.27,97.43,96.87 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,172.85,171.31,172.27 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,478.06,476.21,477.49 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,242.6,241.4,241.68 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1939.29,1936.18,1937.31 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,603.24,604.1,601.99 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,1.54,1.54,1.55 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2579.07,2566.17,2557.91 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,1.16,1.13,1.16 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,3440.07,3450.77,3412.02 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,1.12,1.14,1.14 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,3480.06,3484.58,3483.55 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,143.69,118.42,134.98 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,27.82,33.75,29.61 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,7.13,7.21,7.18 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,560.65,554.46,556.5 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,332.45,323.11,329.51 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,12.02,12.37,12.13 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,186.97,186.71,186.67 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,32.07,32.11,32.13 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,21.63,21.23,21.55 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,184.63,188.14,185.45 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,712.15,710.39,712.78 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,8.41,8.43,8.4 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,274.91,275.05,274.67 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,14.54,14.53,14.55 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,5191.97,5190.8,5224.02 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.14,1.14,1.13 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,12248.29,12208.42,12274.19 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.49,0.49,0.49 "Facebook RocksDB - Test: Random Fill (Op/s)",HIB,841127,857849,872567 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,46480389,46884294,47409319 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,669994,661339,632275 "Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,1410830,1455436,1513059 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,3134,3091,3118 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,1561035,1528756,1583316 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,1569980,1576451,1577027 "Natron - Input: Spaceship (FPS)",HIB,2.5,2.6,2.6 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,118824,118454,118684