Summary
AI & Machine Learning
Energy
Financial Services
Life Sciences
Media & Entertainment
Product Design
Productivity & Development
Subsystem Scores
Workload Scores
Configuration
SPECworkstation® 4.0.0 Summary
      Official Submission Candidate
23 of 23 workloads produced scores
System Configuration
| Manufacturer | LENOVO | 
| Model | Lenovo ThinkStation P3 Tower | 
| CPU | Intel(R) Core(TM) i9-14900K | 
| Memory | 64.00 GB @ 4400 MHz | 
| GPU | 1x Intel(R) UHD Graphics 770 1x NVIDIA RTX 5000 Ada Generation  | 
          
| Display | LEN P27u-10 27.2" (3840x2160) | 
          
| Storage | Intel Raid 0 Volume 5723.18 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (26100) | 
Submission Details
| Result Date | Mon Nov 18 2024 16:19:49 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          2.32 | 
Energy  | 
          2.26 | 
Financial Services  | 
          1.49 | 
Life Sciences  | 
          2.67 | 
Media & Entertainment  | 
          2.58 | 
Product Design  | 
          2.31 | 
Productivity & Development  | 
          1.67 | 
Hardware Subsystem Scores
| CPU | 1.76 | 
| Accelerator | 6.13 | 
| Graphics | 12.41 | 
| Storage | 1.12 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.75 | 
| Autodesk Inventor | 1.06 | 
| Blender | 2.19 | 
| Convolution | 1.85 | 
| Data Science | 1.58 | 
| HandBrake | 2.01 | 
| Hidden Line Removal | 1.32 | 
| LAMMPS | 1.68 | 
| LLVM Clang | 1.95 | 
| LuxCoreRender | 1.98 | 
| MFEM | 1.57 | 
| NAMD | 1.85 | 
| Octave | 1.23 | 
| ONNX Inference | 3.39 | 
| OpenFOAM | 6.41 | 
| Options Pricing | 1.49 | 
| Poisson | 1.14 | 
| Python 3 | 1.35 | 
| Rodinia CFD | 2.76 | 
| Rodinia Life Sciences | 1.70 | 
| SRMP | 1.36 | 
| Viewport Graphics | 12.40 | 
| WPCstorage | 1.12 | 
Industry Vertical Scores
| AI & Machine Learning | 2.32 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      97.58
     
   | 
  sec | 
     
       
      1.35
     
   | 
| Scikit-learn | 449.17 | 
     
      299.92
     
   | 
  sec | 
     
       
      1.50
     
   | 
| XGBoost | 91.50 | 
     
      46.89
     
   | 
  sec | 
     
       
      1.95
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      41.89
     
   | 
  ms | 
     
       
      1.52
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      25.83
     
   | 
  inferences/sec | 
     
       
      1.41
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      20.67
     
   | 
  ms | 
     
       
      1.08
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      71.83
     
   | 
  inferences/sec | 
     
       
      1.54
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      40.27
     
   | 
  ms | 
     
       
      1.45
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      36.49
     
   | 
  inferences/sec | 
     
       
      1.75
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      15.77
     
   | 
  ms | 
     
       
      1.35
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      74.15
     
   | 
  inferences/sec | 
     
       
      1.33
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      62.38
     
   | 
  inferences/sec | 
     
       
      15.90
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      120.35
     
   | 
  inferences/sec | 
     
       
      62.70
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      38.82
     
   | 
  inferences/sec | 
     
       
      5.89
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      46.94
     
   | 
  inferences/sec | 
     
       
      24.40
     
   | 
Industry Vertical Scores
| Energy | 2.26 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.17
     
   | 
  iterations/sec | 
     
       
      1.85
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      18.32
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.15
     
   | 
  iterations/sec | 
     
       
      1.15
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      14.29
     
   | 
  sec | 
     
       
      1.36
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      254.35
     
   | 
  fps | 
     
       
      22.20
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1434.76
     
   | 
  points | 
     
       
      0.93
     
   | 
Industry Vertical Scores
| Financial Services | 1.49 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      53888.34
     
   | 
  options/sec | 
     
       
      1.53
     
   | 
| Black-Scholes | 3389.63 | 
     
      5520.78
     
   | 
  Moptions/sec | 
     
       
      1.63
     
   | 
| Binomial | 79377.62 | 
     
      104935.74
     
   | 
  options/sec | 
     
       
      1.32
     
   | 
Industry Vertical Scores
| Life Sciences | 2.67 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1265.53
     
   | 
  tau/day | 
     
       
      1.79
     
   | 
| CHAIN | 1190.35 | 
     
      2083.86
     
   | 
  tau/day | 
     
       
      1.75
     
   | 
| EAM | 0.63 | 
     
      1.17
     
   | 
  ns/day | 
     
       
      1.86
     
   | 
| CHUTE | 38.25 | 
     
      45.16
     
   | 
  tau/day | 
     
       
      1.18
     
   | 
| RHODO | 0.26 | 
     
      0.51
     
   | 
  ns/day | 
     
       
      1.97
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      24.63
     
   | 
  ms/step | 
     
       
      1.84
     
   | 
| f1atpase | 130.50 | 
     
      72.51
     
   | 
  ms/step | 
     
       
      1.80
     
   | 
| stmv | 448.57 | 
     
      235.09
     
   | 
  ms/step | 
     
       
      1.91
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.22
     
   | 
  fps | 
     
       
      1.77
     
   | 
| HotSpot | 8.55 | 
     
      3.97
     
   | 
  sec | 
     
       
      2.15
     
   | 
| LavaMD | 0.07 | 
     
      0.13
     
   | 
  iterations/sec | 
     
       
      1.87
     
   | 
| SRAD | 47.04 | 
     
      55.25
     
   | 
  iterations/sec | 
     
       
      1.17
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      200.78
     
   | 
  fps | 
     
       
      20.80
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1552.76
     
   | 
  points | 
     
       
      1.24
     
   | 
Industry Vertical Scores
| Media & Entertainment | 2.58 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      50.81
     
   | 
  sec | 
     
       
      5.54
     
   | 
| BMW27 | 43.82 | 
     
      23.47
     
   | 
  sec | 
     
       
      1.87
     
   | 
| BMW1M | 17.74 | 
     
      9.32
     
   | 
  sec | 
     
       
      1.90
     
   | 
| Island | 29.68 | 
     
      25.34
     
   | 
  sec | 
     
       
      1.17
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      116.86
     
   | 
  sec | 
     
       
      1.67
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.45
     
   | 
  sec | 
     
       
      1.35
     
   | 
| x265 4K to 4K | 107.73 | 
     
      70.05
     
   | 
  sec | 
     
       
      1.54
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      9.68
     
   | 
  sec | 
     
       
      5.16
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      171.60
     
   | 
  fps | 
     
       
      1.01
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      474.83
     
   | 
  fps | 
     
       
      3.69
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.14
     
   | 
  Msamples/sec | 
     
       
      2.09
     
   | 
| Food | 1.84 | 
     
      3.88
     
   | 
  Msamples/sec | 
     
       
      2.11
     
   | 
| Danish Mood | 2.29 | 
     
      3.86
     
   | 
  Msamples/sec | 
     
       
      1.69
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.25
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      249.98
     
   | 
  fps | 
     
       
      15.70
     
   | 
| maya | 62.09 | 
     
      632.52
     
   | 
  fps | 
     
       
      10.20
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4227.79
     
   | 
  points | 
     
       
      1.28
     
   | 
| handbrake | 1897.99 | 
     
      2298.48
     
   | 
  points | 
     
       
      1.21
     
   | 
| maya | 2037.06 | 
     
      2153.81
     
   | 
  points | 
     
       
      1.06
     
   | 
| MayaVenice | 472.63 | 
     
      441.45
     
   | 
  points | 
     
       
      0.93
     
   | 
| MandE | 1625.72 | 
     
      1295.62
     
   | 
  points | 
     
       
      0.80
     
   | 
Industry Vertical Scores
| Product Design | 2.31 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      3908.00
     
   | 
  ms | 
     
       
      1.09
     
   | 
| Create/Update Files | 4973.68 | 
     
      4367.00
     
   | 
  ms | 
     
       
      1.14
     
   | 
| Rebuild | 10590.28 | 
     
      8883.00
     
   | 
  ms | 
     
       
      1.19
     
   | 
| Render Style/Material | 628.78 | 
     
      730.00
     
   | 
  ms | 
     
       
      0.86
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      32.09
     
   | 
  fps | 
     
       
      1.32
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      144.75
     
   | 
  sec | 
     
       
      1.57
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      125.30
     
   | 
  sec | 
     
       
      6.41
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      380.87
     
   | 
  iterations/sec | 
     
       
      2.76
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      141.24
     
   | 
  fps | 
     
       
      8.04
     
   | 
| creo | 48.42 | 
     
      266.01
     
   | 
  fps | 
     
       
      5.49
     
   | 
| solidworks | 42.90 | 
     
      597.95
     
   | 
  fps | 
     
       
      13.90
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1775.42
     
   | 
  points | 
     
       
      1.27
     
   | 
| cfd | 1921.51 | 
     
      1856.27
     
   | 
  points | 
     
       
      0.97
     
   | 
| icePack | 1543.34 | 
     
      1556.07
     
   | 
  points | 
     
       
      1.01
     
   | 
| mcad | 2612.50 | 
     
      3664.49
     
   | 
  points | 
     
       
      1.40
     
   | 
| proddev | 659.82 | 
     
      506.55
     
   | 
  points | 
     
       
      0.77
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.67 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.01
     
   | 
  sec | 
     
       
      1.34
     
   | 
| Compression | 254.57 | 
     
      43.73
     
   | 
  sec | 
     
       
      5.82
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      288.16
     
   | 
  sec | 
     
       
      1.95
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      0.98
     
   | 
  sec/operation | 
     
       
      1.23
     
   | 
| benchmark2 | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.24
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.50
     
   | 
  sec | 
     
       
      0.73
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      3.90
     
   | 
  sec | 
     
       
      1.14
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.73
     
   | 
  sec | 
     
       
      1.20
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      11.77
     
   | 
  sec | 
     
       
      1.32
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.27
     
   | 
  sec | 
     
       
      1.17
     
   | 
| Multi-Matrix | 65.50 | 
     
      39.16
     
   | 
  sec | 
     
       
      1.67
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      1033.73
     
   | 
  points | 
     
       
      2.40
     
   | 
| mozillaVS | 7708.43 | 
     
      8542.28
     
   | 
  points | 
     
       
      1.11
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            6.13
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      171.60
     
   | 
  fps | 
     
       
      1.01
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      474.83
     
   | 
  fps | 
     
       
      3.69
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      62.38
     
   | 
  inferences/sec | 
     
       
      15.90
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      120.35
     
   | 
  inferences/sec | 
     
       
      62.70
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      38.82
     
   | 
  inferences/sec | 
     
       
      5.89
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      46.94
     
   | 
  inferences/sec | 
     
       
      24.40
     
   | 
            1.76
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.01
     
   | 
  sec | 
     
       
      1.34
     
   | 
| Compression | 254.57 | 
     
      43.73
     
   | 
  sec | 
     
       
      5.82
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      3908.00
     
   | 
  ms | 
     
       
      1.09
     
   | 
| Create/Update Files | 4973.68 | 
     
      4367.00
     
   | 
  ms | 
     
       
      1.14
     
   | 
| Rebuild | 10590.28 | 
     
      8883.00
     
   | 
  ms | 
     
       
      1.19
     
   | 
| Render Style/Material | 628.78 | 
     
      730.00
     
   | 
  ms | 
     
       
      0.86
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      50.81
     
   | 
  sec | 
     
       
      5.54
     
   | 
| BMW27 | 43.82 | 
     
      23.47
     
   | 
  sec | 
     
       
      1.87
     
   | 
| BMW1M | 17.74 | 
     
      9.32
     
   | 
  sec | 
     
       
      1.90
     
   | 
| Island | 29.68 | 
     
      25.34
     
   | 
  sec | 
     
       
      1.17
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.17
     
   | 
  iterations/sec | 
     
       
      1.85
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      97.58
     
   | 
  sec | 
     
       
      1.35
     
   | 
| Scikit-learn | 449.17 | 
     
      299.92
     
   | 
  sec | 
     
       
      1.50
     
   | 
| XGBoost | 91.50 | 
     
      46.89
     
   | 
  sec | 
     
       
      1.95
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      116.86
     
   | 
  sec | 
     
       
      1.67
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.45
     
   | 
  sec | 
     
       
      1.35
     
   | 
| x265 4K to 4K | 107.73 | 
     
      70.05
     
   | 
  sec | 
     
       
      1.54
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      9.68
     
   | 
  sec | 
     
       
      5.16
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      32.09
     
   | 
  fps | 
     
       
      1.32
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1265.53
     
   | 
  tau/day | 
     
       
      1.79
     
   | 
| CHAIN | 1190.35 | 
     
      2083.86
     
   | 
  tau/day | 
     
       
      1.75
     
   | 
| EAM | 0.63 | 
     
      1.17
     
   | 
  ns/day | 
     
       
      1.86
     
   | 
| CHUTE | 38.25 | 
     
      45.16
     
   | 
  tau/day | 
     
       
      1.18
     
   | 
| RHODO | 0.26 | 
     
      0.51
     
   | 
  ns/day | 
     
       
      1.97
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      288.16
     
   | 
  sec | 
     
       
      1.95
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.14
     
   | 
  Msamples/sec | 
     
       
      2.09
     
   | 
| Food | 1.84 | 
     
      3.88
     
   | 
  Msamples/sec | 
     
       
      2.11
     
   | 
| Danish Mood | 2.29 | 
     
      3.86
     
   | 
  Msamples/sec | 
     
       
      1.69
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.25
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      144.75
     
   | 
  sec | 
     
       
      1.57
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      24.63
     
   | 
  ms/step | 
     
       
      1.84
     
   | 
| f1atpase | 130.50 | 
     
      72.51
     
   | 
  ms/step | 
     
       
      1.80
     
   | 
| stmv | 448.57 | 
     
      235.09
     
   | 
  ms/step | 
     
       
      1.91
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      0.98
     
   | 
  sec/operation | 
     
       
      1.23
     
   | 
| benchmark2 | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.24
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      41.89
     
   | 
  ms | 
     
       
      1.52
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      25.83
     
   | 
  inferences/sec | 
     
       
      1.41
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      20.67
     
   | 
  ms | 
     
       
      1.08
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      71.83
     
   | 
  inferences/sec | 
     
       
      1.54
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      40.27
     
   | 
  ms | 
     
       
      1.45
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      36.49
     
   | 
  inferences/sec | 
     
       
      1.75
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      15.77
     
   | 
  ms | 
     
       
      1.35
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      74.15
     
   | 
  inferences/sec | 
     
       
      1.33
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      125.30
     
   | 
  sec | 
     
       
      6.41
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      53888.34
     
   | 
  options/sec | 
     
       
      1.53
     
   | 
| Black-Scholes | 3389.63 | 
     
      5520.78
     
   | 
  Moptions/sec | 
     
       
      1.63
     
   | 
| Binomial | 79377.62 | 
     
      104935.74
     
   | 
  options/sec | 
     
       
      1.32
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      18.32
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.15
     
   | 
  iterations/sec | 
     
       
      1.15
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.50
     
   | 
  sec | 
     
       
      0.73
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      3.90
     
   | 
  sec | 
     
       
      1.14
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.73
     
   | 
  sec | 
     
       
      1.20
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      11.77
     
   | 
  sec | 
     
       
      1.32
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.27
     
   | 
  sec | 
     
       
      1.17
     
   | 
| Multi-Matrix | 65.50 | 
     
      39.16
     
   | 
  sec | 
     
       
      1.67
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      380.87
     
   | 
  iterations/sec | 
     
       
      2.76
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.22
     
   | 
  fps | 
     
       
      1.77
     
   | 
| HotSpot | 8.55 | 
     
      3.97
     
   | 
  sec | 
     
       
      2.15
     
   | 
| LavaMD | 0.07 | 
     
      0.13
     
   | 
  iterations/sec | 
     
       
      1.87
     
   | 
| SRAD | 47.04 | 
     
      55.25
     
   | 
  iterations/sec | 
     
       
      1.17
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      14.29
     
   | 
  sec | 
     
       
      1.36
     
   | 
            12.41
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      249.98
     
   | 
  fps | 
     
       
      15.70
     
   | 
| catia | 17.57 | 
     
      141.24
     
   | 
  fps | 
     
       
      8.04
     
   | 
| creo | 48.42 | 
     
      266.01
     
   | 
  fps | 
     
       
      5.49
     
   | 
| energy | 11.48 | 
     
      254.35
     
   | 
  fps | 
     
       
      22.20
     
   | 
| maya | 62.09 | 
     
      632.52
     
   | 
  fps | 
     
       
      10.20
     
   | 
| medical | 9.63 | 
     
      200.78
     
   | 
  fps | 
     
       
      20.80
     
   | 
| solidworks | 42.90 | 
     
      597.95
     
   | 
  fps | 
     
       
      13.90
     
   | 
            1.12
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4227.79
     
   | 
  points | 
     
       
      1.28
     
   | 
| 7zip | 431.06 | 
     
      1033.73
     
   | 
  points | 
     
       
      2.40
     
   | 
| ccx | 1398.45 | 
     
      1775.42
     
   | 
  points | 
     
       
      1.27
     
   | 
| cfd | 1921.51 | 
     
      1856.27
     
   | 
  points | 
     
       
      0.97
     
   | 
| energy | 1547.93 | 
     
      1434.76
     
   | 
  points | 
     
       
      0.93
     
   | 
| handbrake | 1897.99 | 
     
      2298.48
     
   | 
  points | 
     
       
      1.21
     
   | 
| icePack | 1543.34 | 
     
      1556.07
     
   | 
  points | 
     
       
      1.01
     
   | 
| maya | 2037.06 | 
     
      2153.81
     
   | 
  points | 
     
       
      1.06
     
   | 
| MayaVenice | 472.63 | 
     
      441.45
     
   | 
  points | 
     
       
      0.93
     
   | 
| MandE | 1625.72 | 
     
      1295.62
     
   | 
  points | 
     
       
      0.80
     
   | 
| mcad | 2612.50 | 
     
      3664.49
     
   | 
  points | 
     
       
      1.40
     
   | 
| mozillaVS | 7708.43 | 
     
      8542.28
     
   | 
  points | 
     
       
      1.11
     
   | 
| namd | 1250.61 | 
     
      1552.76
     
   | 
  points | 
     
       
      1.24
     
   | 
| proddev | 659.82 | 
     
      506.55
     
   | 
  points | 
     
       
      0.77
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 18, 2024, 4:19:49 PM PST | 
                         
                             3.75
                         
                     | 
                ||||
| Decompression | 12.01 sec | 16.04 | 
     
      12.01
     
   | 
  sec | 
     
       
      1.34
     
   | 
|
| Compression | 43.73 sec | 254.57 | 
     
      43.73
     
   | 
  sec | 
     
       
      5.82
     
   | 
|
| Autodesk Inventor | Nov 18, 2024, 4:21:04 PM PST | 
                         
                             1.06
                         
                     | 
                ||||
| Open Document | 4.07 sec | 4253.73 | 
     
      3908.00
     
   | 
  ms | 
     
       
      1.09
     
   | 
|
| Create/Update Files | 6.04 sec | 4973.68 | 
     
      4367.00
     
   | 
  ms | 
     
       
      1.14
     
   | 
|
| Rebuild | 9.05 sec | 10590.28 | 
     
      8883.00
     
   | 
  ms | 
     
       
      1.19
     
   | 
|
| Render Style/Material | 0.89 sec | 628.78 | 
     
      730.00
     
   | 
  ms | 
     
       
      0.86
     
   | 
|
| Blender | Nov 18, 2024, 4:21:48 PM PST | 
                         
                             2.19
                         
                     | 
                ||||
| Classroom | 50.81 sec | 281.72 | 
     
      50.81
     
   | 
  sec | 
     
       
      5.54
     
   | 
|
| BMW27 | 23.47 sec | 43.82 | 
     
      23.47
     
   | 
  sec | 
     
       
      1.87
     
   | 
|
| BMW1M | 9.32 sec | 17.74 | 
     
      9.32
     
   | 
  sec | 
     
       
      1.90
     
   | 
|
| Island | 25.34 sec | 29.68 | 
     
      25.34
     
   | 
  sec | 
     
       
      1.17
     
   | 
|
| Convolution | Nov 18, 2024, 4:23:40 PM PST | 
                         
                             1.85
                         
                     | 
                ||||
| 20K/100 | 31.39 sec | 0.09 | 
     
      0.17
     
   | 
  iterations/sec | 
     
       
      1.85
     
   | 
|
| Data Science | Nov 18, 2024, 4:24:12 PM PST | 
                         
                             1.58
                         
                     | 
                ||||
| Pandas | 108.99 sec | 131.99 | 
     
      97.58
     
   | 
  sec | 
     
       
      1.35
     
   | 
|
| Scikit-learn | 303.51 sec | 449.17 | 
     
      299.92
     
   | 
  sec | 
     
       
      1.50
     
   | 
|
| XGBoost | 64.93 sec | 91.50 | 
     
      46.89
     
   | 
  sec | 
     
       
      1.95
     
   | 
|
| HandBrake | Nov 18, 2024, 4:32:21 PM PST | 
                         
                             2.01
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 116.86 sec | 195.16 | 
     
      116.86
     
   | 
  sec | 
     
       
      1.67
     
   | 
|
| x265 4K to 1080p | 30.20 sec | 38.36 | 
     
      28.45
     
   | 
  sec | 
     
       
      1.35
     
   | 
|
| x265 4K to 4K | 71.82 sec | 107.73 | 
     
      70.05
     
   | 
  sec | 
     
       
      1.54
     
   | 
|
| x264 1080p to 1080p | 9.68 sec | 49.98 | 
     
      9.68
     
   | 
  sec | 
     
       
      5.16
     
   | 
|
| GPU H.265 4K to 4K | 49.83 sec | 169.65 | 
     
      135.76
     
   | 
  fps | 
     
       
      0.80
     
   | 
|
| GPU H.265 4K to 4K | 45.59 sec | 169.65 | 
     
      171.60
     
   | 
  fps | 
     
       
      1.01
     
   | 
|
| GPU H.265 4K to 1080p | 170.53 sec | 128.84 | 
     
      474.83
     
   | 
  fps | 
     
       
      3.69
     
   | 
|
| GPU H.265 4K to 1080p | 201.84 sec | 128.84 | 
     
      201.79
     
   | 
  fps | 
     
       
      1.57
     
   | 
|
| Hidden Line Removal | Nov 18, 2024, 4:44:03 PM PST | 
                         
                             1.32
                         
                     | 
                ||||
| Palatov | 16.48 sec | 24.29 | 
     
      32.09
     
   | 
  fps | 
     
       
      1.32
     
   | 
|
| Palatov | 16.73 sec | 24.29 | 
     
      30.55
     
   | 
  fps | 
     
       
      1.26
     
   | 
|
| LAMMPS | Nov 18, 2024, 4:44:37 PM PST | 
                         
                             1.68
                         
                     | 
                ||||
| LJ | 11.93 sec | 705.82 | 
     
      1265.53
     
   | 
  tau/day | 
     
       
      1.79
     
   | 
|
| CHAIN | 11.65 sec | 1190.35 | 
     
      2083.86
     
   | 
  tau/day | 
     
       
      1.75
     
   | 
|
| EAM | 11.94 sec | 0.63 | 
     
      1.17
     
   | 
  ns/day | 
     
       
      1.86
     
   | 
|
| CHUTE | 8.87 sec | 38.25 | 
     
      45.16
     
   | 
  tau/day | 
     
       
      1.18
     
   | 
|
| RHODO | 5.58 sec | 0.26 | 
     
      0.51
     
   | 
  ns/day | 
     
       
      1.97
     
   | 
|
| LLVM Clang | Nov 18, 2024, 4:45:27 PM PST | 
                         
                             1.95
                         
                     | 
                ||||
| PyTorch | 314.03 sec | 562.76 | 
     
      288.16
     
   | 
  sec | 
     
       
      1.95
     
   | 
|
| LuxCoreRender | Nov 18, 2024, 4:51:27 PM PST | 
                         
                             1.98
                         
                     | 
                ||||
| DLSC | 10.56 sec | 2.46 | 
     
      5.14
     
   | 
  Msamples/sec | 
     
       
      2.09
     
   | 
|
| Food | 15.31 sec | 1.84 | 
     
      3.88
     
   | 
  Msamples/sec | 
     
       
      2.11
     
   | 
|
| Danish Mood | 39.77 sec | 2.29 | 
     
      3.86
     
   | 
  Msamples/sec | 
     
       
      1.69
     
   | 
|
| Procedural Leaves | 24.91 sec | 1.10 | 
     
      2.25
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
|
| MFEM | Nov 18, 2024, 4:52:58 PM PST | 
                         
                             1.57
                         
                     | 
                ||||
| Dynamic AMR | 144.75 sec | 227.39 | 
     
      144.75
     
   | 
  sec | 
     
       
      1.57
     
   | 
|
| NAMD | Nov 18, 2024, 4:55:23 PM PST | 
                         
                             1.85
                         
                     | 
                ||||
| apoa1 | 12.45 sec | 45.38 | 
     
      24.63
     
   | 
  ms/step | 
     
       
      1.84
     
   | 
|
| f1atpase | 17.83 sec | 130.50 | 
     
      72.51
     
   | 
  ms/step | 
     
       
      1.80
     
   | 
|
| stmv | 38.08 sec | 448.57 | 
     
      235.09
     
   | 
  ms/step | 
     
       
      1.91
     
   | 
|
| Octave | Nov 18, 2024, 4:56:31 PM PST | 
                         
                             1.23
                         
                     | 
                ||||
| obench | 38.40 sec | 1.20 | 
     
      0.98
     
   | 
  sec/operation | 
     
       
      1.23
     
   | 
|
| benchmark2 | 10.87 sec | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.24
     
   | 
|
| ONNX Inference | Nov 18, 2024, 4:57:29 PM PST | 
                         
                             3.39
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.35 sec | 63.72 | 
     
      41.89
     
   | 
  ms | 
     
       
      1.52
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.15 sec | 18.33 | 
     
      25.83
     
   | 
  inferences/sec | 
     
       
      1.41
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.63 sec | 18.33 | 
     
      25.85
     
   | 
  inferences/sec | 
     
       
      1.41
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 | 
     
      20.67
     
   | 
  ms | 
     
       
      1.08
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.54 sec | 46.62 | 
     
      55.45
     
   | 
  inferences/sec | 
     
       
      1.19
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.57 sec | 46.62 | 
     
      71.83
     
   | 
  inferences/sec | 
     
       
      1.54
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 | 
     
      40.27
     
   | 
  ms | 
     
       
      1.45
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.86 sec | 20.87 | 
     
      36.49
     
   | 
  inferences/sec | 
     
       
      1.75
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.47 sec | 20.87 | 
     
      20.08
     
   | 
  inferences/sec | 
     
       
      0.96
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 | 
     
      15.77
     
   | 
  ms | 
     
       
      1.35
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.41 sec | 55.92 | 
     
      74.15
     
   | 
  inferences/sec | 
     
       
      1.33
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.59 sec | 55.92 | 
     
      66.69
     
   | 
  inferences/sec | 
     
       
      1.19
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.54 sec | 3.92 | 
     
      62.38
     
   | 
  inferences/sec | 
     
       
      15.90
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.52 sec | 3.92 | 
     
      62.04
     
   | 
  inferences/sec | 
     
       
      15.80
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.51 sec | 1.92 | 
     
      120.15
     
   | 
  inferences/sec | 
     
       
      62.60
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.51 sec | 1.92 | 
     
      120.35
     
   | 
  inferences/sec | 
     
       
      62.70
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.51 sec | 6.59 | 
     
      38.82
     
   | 
  inferences/sec | 
     
       
      5.89
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.50 sec | 6.59 | 
     
      38.59
     
   | 
  inferences/sec | 
     
       
      5.86
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.60 sec | 1.92 | 
     
      46.74
     
   | 
  inferences/sec | 
     
       
      24.30
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.58 sec | 1.92 | 
     
      46.94
     
   | 
  inferences/sec | 
     
       
      24.40
     
   | 
|
| OpenFOAM | Nov 18, 2024, 5:04:26 PM PST | 
                         
                             6.41
                         
                     | 
                ||||
| XiFoam Solver | 138.38 sec | 803.27 | 
     
      129.67
     
   | 
  sec | 
     
       
      6.19
     
   | 
|
| XiFoam Solver | 133.61 sec | 803.27 | 
     
      125.30
     
   | 
  sec | 
     
       
      6.41
     
   | 
|
| Options Pricing | Nov 18, 2024, 5:09:01 PM PST | 
                         
                             1.49
                         
                     | 
                ||||
| Monte Carlo | 19.53 sec | 35137.48 | 
     
      53888.34
     
   | 
  options/sec | 
     
       
      1.53
     
   | 
|
| Black-Scholes | 13.18 sec | 3389.63 | 
     
      5520.78
     
   | 
  Moptions/sec | 
     
       
      1.63
     
   | 
|
| Binomial | 10.04 sec | 79377.62 | 
     
      104935.74
     
   | 
  options/sec | 
     
       
      1.32
     
   | 
|
| Poisson | Nov 18, 2024, 5:09:44 PM PST | 
                         
                             1.14
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.11 sec | 16.05 | 
     
      17.84
     
   | 
  iterations/sec | 
     
       
      1.11
     
   | 
|
| Jacobi Rectangular Grid | 10.17 sec | 16.05 | 
     
      18.32
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
|
| Jacobi Square Grid | 10.21 sec | 6.19 | 
     
      7.07
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
|
| Jacobi Square Grid | 10.23 sec | 6.19 | 
     
      7.15
     
   | 
  iterations/sec | 
     
       
      1.15
     
   | 
|
| Python 3 | Nov 18, 2024, 5:10:25 PM PST | 
                         
                             1.35
                         
                     | 
                ||||
| NumPy Create Matrix | 3.03 sec | 0.36 | 
     
      0.50
     
   | 
  sec | 
     
       
      0.73
     
   | 
|
| NumPy Add Matrix | 4.49 sec | 4.44 | 
     
      3.90
     
   | 
  sec | 
     
       
      1.14
     
   | 
|
| NumPy Multiply Matrix | 7.32 sec | 8.06 | 
     
      6.73
     
   | 
  sec | 
     
       
      1.20
     
   | 
|
| NumPy Invert Matrix | 12.36 sec | 15.53 | 
     
      11.77
     
   | 
  sec | 
     
       
      1.32
     
   | 
|
| NumPy Sin Matrix | 2.87 sec | 2.67 | 
     
      2.27
     
   | 
  sec | 
     
       
      1.17
     
   | 
|
| Multi-Matrix | 39.72 sec | 65.50 | 
     
      39.16
     
   | 
  sec | 
     
       
      1.67
     
   | 
|
| Rodinia CFD | Nov 18, 2024, 5:11:42 PM PST | 
                         
                             2.76
                         
                     | 
                ||||
| Pre-Euler | 32.76 sec | 138.14 | 
     
      380.87
     
   | 
  iterations/sec | 
     
       
      2.76
     
   | 
|
| Rodinia Life Sciences | Nov 18, 2024, 5:12:15 PM PST | 
                         
                             1.70
                         
                     | 
                ||||
| Heart Wall | 10.79 sec | 0.69 | 
     
      1.22
     
   | 
  fps | 
     
       
      1.77
     
   | 
|
| HotSpot | 4.95 sec | 8.55 | 
     
      3.97
     
   | 
  sec | 
     
       
      2.15
     
   | 
|
| LavaMD | 15.57 sec | 0.07 | 
     
      0.13
     
   | 
  iterations/sec | 
     
       
      1.87
     
   | 
|
| SRAD | 10.21 sec | 47.04 | 
     
      55.25
     
   | 
  iterations/sec | 
     
       
      1.17
     
   | 
|
| SRMP | Nov 18, 2024, 5:12:57 PM PST | 
                         
                             1.36
                         
                     | 
                ||||
| 2D | 14.72 sec | 19.45 | 
     
      14.29
     
   | 
  sec | 
     
       
      1.36
     
   | 
|
| Viewport Graphics | Nov 18, 2024, 5:13:12 PM PST | 
                         
                             12.40
                         
                     | 
                ||||
| 3dsmax | 131.24 sec | 15.96 | 
     
      249.98
     
   | 
  fps | 
     
       
      15.70
     
   | 
|
| catia | 121.89 sec | 17.57 | 
     
      141.24
     
   | 
  fps | 
     
       
      8.04
     
   | 
|
| creo | 162.66 sec | 48.42 | 
     
      266.01
     
   | 
  fps | 
     
       
      5.49
     
   | 
|
| energy | 76.02 sec | 11.48 | 
     
      254.35
     
   | 
  fps | 
     
       
      22.20
     
   | 
|
| maya | 100.38 sec | 62.09 | 
     
      632.52
     
   | 
  fps | 
     
       
      10.20
     
   | 
|
| medical | 71.58 sec | 9.63 | 
     
      200.78
     
   | 
  fps | 
     
       
      20.80
     
   | 
|
| solidworks | 70.92 sec | 42.90 | 
     
      597.95
     
   | 
  fps | 
     
       
      13.90
     
   | 
|
| WPCstorage | Nov 18, 2024, 5:26:19 PM PST | 
                         
                             1.12
                         
                     | 
                ||||
| 3dsmax | 48.27 sec | 3299.42 | 
     
      4227.79
     
   | 
  points | 
     
       
      1.28
     
   | 
|
| 7zip | 48.28 sec | 431.06 | 
     
      1033.73
     
   | 
  points | 
     
       
      2.40
     
   | 
|
| ccx | 11.42 sec | 1398.45 | 
     
      1775.42
     
   | 
  points | 
     
       
      1.27
     
   | 
|
| cfd | 12.11 sec | 1921.51 | 
     
      1856.27
     
   | 
  points | 
     
       
      0.97
     
   | 
|
| energy | 21.43 sec | 1547.93 | 
     
      1434.76
     
   | 
  points | 
     
       
      0.93
     
   | 
|
| handbrake | 15.00 sec | 1897.99 | 
     
      2298.48
     
   | 
  points | 
     
       
      1.21
     
   | 
|
| icePack | 55.50 sec | 1543.34 | 
     
      1556.07
     
   | 
  points | 
     
       
      1.01
     
   | 
|
| maya | 53.34 sec | 2037.06 | 
     
      2153.81
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| MayaVenice | 33.73 sec | 472.63 | 
     
      441.45
     
   | 
  points | 
     
       
      0.93
     
   | 
|
| MandE | 20.81 sec | 1625.72 | 
     
      1295.62
     
   | 
  points | 
     
       
      0.80
     
   | 
|
| mcad | 56.18 sec | 2612.50 | 
     
      3664.49
     
   | 
  points | 
     
       
      1.40
     
   | 
|
| mozillaVS | 27.59 sec | 7708.43 | 
     
      8542.28
     
   | 
  points | 
     
       
      1.11
     
   | 
|
| namd | 16.17 sec | 1250.61 | 
     
      1552.76
     
   | 
  points | 
     
       
      1.24
     
   | 
|
| proddev | 18.67 sec | 659.82 | 
     
      506.55
     
   | 
  points | 
     
       
      0.77
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 1064Model: Lenovo ThinkStation P3 Tower
Version: 30GS0061US
Manufacturer: LENOVO
Serial Number: LENOVO_MT_30GS_BU_Think_FM_ThinkStation P3 Tower
BIOS: LENOVO S0IKT6EA
BIOS Version: LENOVO - 16E0 (2024-09-29)
      
      PROCESSOR
    
    CPU #1: Intel(R) Core(TM) i9-14900K (3200MHz / 24C / 32T)
      
      MEMORY
    
    BANK 0 (Controller0-ChannelA-DIMM1): Micron Technology MTC16C2085S1UC48BA1  (32.00 GB / 4400 MHz / DDR5)BANK 1 (Controller1-ChannelB-DIMM1): Micron Technology MTC16C2085S1UC48BA1 (32.00 GB / 4400 MHz / DDR5)
Total Memory: 64.00 GB
      
      STORAGE
    
    Disk #1: Intel Raid 0 Volume (5723.18 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (5720.96 GB)
Partition 3: GPT: Unknown (1.95 GB)
Available Volumes
C: (Windows): NTFS (5581.26 GB of 5720.96 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 04:7C:16:92:A7:0A | Speed: 1000.00 Mbit
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 84:5C:F3:E9:64:6A | Speed: Not Connected
Adapter #3: Intel(R) Wi-Fi 6E AX211 160MHz
Type: Ethernet 802.3 | MAC: 84:5C:F3:E9:64:66 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: Intel(R) UHD Graphics 770Video Memory: 31.94 GB
Current Resolution: Unknown
Driver Version: 31.0.101.5590 (2024-06-09)
Adapter #2: NVIDIA RTX 5000 Ada Generation
Video Memory: 31.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 32.0.15.5601 (2024-06-03)
        
        DISPLAY
      
      Display #1: LENOVO GROUP LIMITED LEN P27u-10 27.2" (3840x2160)Model: 61B0 | S/N: 1261851704 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.2033 (Release 2009)
Installation Date: 2024-11-07
Free Memory: 52.78 GB (Physical) | 57.13 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Best Performance
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)