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 ThinkPad P1 Gen 6 | 
| CPU | 13th Gen Intel(R) Core(TM) i9-13900H | 
| Memory | 64.00 GB @ 5600 MHz | 
| GPU | 1x Intel(R) Iris(R) Xe Graphics 1x NVIDIA RTX 5000 Ada Generation Laptop GPU  | 
          
| Display | Internal Display 15.9" (3840x2400) | 
          
| Storage | KXG8AZN84T09 LA KIOXIA 3815.44 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (26100) | 
Submission Details
| Result Date | Wed Nov 20 2024 21:41:49 GMT-0500 (Eastern Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          1.67 | 
Energy  | 
          1.63 | 
Financial Services  | 
          0.83 | 
Life Sciences  | 
          1.79 | 
Media & Entertainment  | 
          1.86 | 
Product Design  | 
          1.65 | 
Productivity & Development  | 
          1.21 | 
Hardware Subsystem Scores
| CPU | 1.17 | 
| Accelerator | 4.60 | 
| Graphics | 7.91 | 
| Storage | 1.19 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 2.95 | 
| Autodesk Inventor | 0.63 | 
| Blender | 1.25 | 
| Convolution | 0.95 | 
| Data Science | 1.37 | 
| HandBrake | 1.46 | 
| Hidden Line Removal | 1.10 | 
| LAMMPS | 1.17 | 
| LLVM Clang | 1.06 | 
| LuxCoreRender | 1.05 | 
| MFEM | 0.97 | 
| NAMD | 1.03 | 
| Octave | 1.14 | 
| ONNX Inference | 2.03 | 
| OpenFOAM | 5.22 | 
| Options Pricing | 0.83 | 
| Poisson | 1.27 | 
| Python 3 | 1.00 | 
| Rodinia CFD | 1.44 | 
| Rodinia Life Sciences | 1.04 | 
| SRMP | 0.84 | 
| Viewport Graphics | 7.91 | 
| WPCstorage | 1.19 | 
Industry Vertical Scores
| AI & Machine Learning | 1.67 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      110.04
     
   | 
  sec | 
     
       
      1.20
     
   | 
| Scikit-learn | 449.17 | 
     
      331.14
     
   | 
  sec | 
     
       
      1.36
     
   | 
| XGBoost | 91.50 | 
     
      57.65
     
   | 
  sec | 
     
       
      1.59
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      78.94
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      14.39
     
   | 
  inferences/sec | 
     
       
      0.79
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      29.79
     
   | 
  ms | 
     
       
      0.75
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      39.91
     
   | 
  inferences/sec | 
     
       
      0.86
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      72.02
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      19.33
     
   | 
  inferences/sec | 
     
       
      0.93
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      28.92
     
   | 
  ms | 
     
       
      0.74
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      51.00
     
   | 
  inferences/sec | 
     
       
      0.91
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      34.26
     
   | 
  inferences/sec | 
     
       
      8.74
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      59.37
     
   | 
  inferences/sec | 
     
       
      30.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      30.92
     
   | 
  inferences/sec | 
     
       
      4.69
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      35.39
     
   | 
  inferences/sec | 
     
       
      18.40
     
   | 
Industry Vertical Scores
| Energy | 1.63 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.09
     
   | 
  iterations/sec | 
     
       
      0.95
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      21.28
     
   | 
  iterations/sec | 
     
       
      1.33
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.55
     
   | 
  iterations/sec | 
     
       
      1.22
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      23.27
     
   | 
  sec | 
     
       
      0.84
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      139.51
     
   | 
  fps | 
     
       
      12.20
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1444.91
     
   | 
  points | 
     
       
      0.93
     
   | 
Industry Vertical Scores
| Financial Services | 0.83 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      29362.26
     
   | 
  options/sec | 
     
       
      0.84
     
   | 
| Black-Scholes | 3389.63 | 
     
      3088.18
     
   | 
  Moptions/sec | 
     
       
      0.91
     
   | 
| Binomial | 79377.62 | 
     
      58901.67
     
   | 
  options/sec | 
     
       
      0.74
     
   | 
Industry Vertical Scores
| Life Sciences | 1.79 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      804.31
     
   | 
  tau/day | 
     
       
      1.14
     
   | 
| CHAIN | 1190.35 | 
     
      1601.95
     
   | 
  tau/day | 
     
       
      1.35
     
   | 
| EAM | 0.63 | 
     
      0.71
     
   | 
  ns/day | 
     
       
      1.13
     
   | 
| CHUTE | 38.25 | 
     
      48.92
     
   | 
  tau/day | 
     
       
      1.28
     
   | 
| RHODO | 0.26 | 
     
      0.26
     
   | 
  ns/day | 
     
       
      1.00
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      43.17
     
   | 
  ms/step | 
     
       
      1.05
     
   | 
| f1atpase | 130.50 | 
     
      131.60
     
   | 
  ms/step | 
     
       
      0.99
     
   | 
| stmv | 448.57 | 
     
      421.93
     
   | 
  ms/step | 
     
       
      1.06
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.70
     
   | 
  fps | 
     
       
      1.02
     
   | 
| HotSpot | 8.55 | 
     
      8.69
     
   | 
  sec | 
     
       
      0.98
     
   | 
| LavaMD | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      0.99
     
   | 
| SRAD | 47.04 | 
     
      55.63
     
   | 
  iterations/sec | 
     
       
      1.18
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      120.19
     
   | 
  fps | 
     
       
      12.50
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1459.91
     
   | 
  points | 
     
       
      1.17
     
   | 
Industry Vertical Scores
| Media & Entertainment | 1.86 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      97.96
     
   | 
  sec | 
     
       
      2.88
     
   | 
| BMW27 | 43.82 | 
     
      45.95
     
   | 
  sec | 
     
       
      0.95
     
   | 
| BMW1M | 17.74 | 
     
      17.82
     
   | 
  sec | 
     
       
      1.00
     
   | 
| Island | 29.68 | 
     
      33.12
     
   | 
  sec | 
     
       
      0.90
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      184.75
     
   | 
  sec | 
     
       
      1.06
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      42.78
     
   | 
  sec | 
     
       
      0.90
     
   | 
| x265 4K to 4K | 107.73 | 
     
      110.37
     
   | 
  sec | 
     
       
      0.98
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      14.19
     
   | 
  sec | 
     
       
      3.52
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      232.94
     
   | 
  fps | 
     
       
      1.37
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      275.30
     
   | 
  fps | 
     
       
      2.14
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      2.80
     
   | 
  Msamples/sec | 
     
       
      1.14
     
   | 
| Food | 1.84 | 
     
      2.06
     
   | 
  Msamples/sec | 
     
       
      1.12
     
   | 
| Danish Mood | 2.29 | 
     
      2.06
     
   | 
  Msamples/sec | 
     
       
      0.90
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.14
     
   | 
  Msamples/sec | 
     
       
      1.04
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      177.76
     
   | 
  fps | 
     
       
      11.10
     
   | 
| maya | 62.09 | 
     
      391.50
     
   | 
  fps | 
     
       
      6.31
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4069.25
     
   | 
  points | 
     
       
      1.23
     
   | 
| handbrake | 1897.99 | 
     
      2644.89
     
   | 
  points | 
     
       
      1.39
     
   | 
| maya | 2037.06 | 
     
      3374.88
     
   | 
  points | 
     
       
      1.66
     
   | 
| MayaVenice | 472.63 | 
     
      827.22
     
   | 
  points | 
     
       
      1.75
     
   | 
| MandE | 1625.72 | 
     
      1656.02
     
   | 
  points | 
     
       
      1.02
     
   | 
Industry Vertical Scores
| Product Design | 1.65 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5966.00
     
   | 
  ms | 
     
       
      0.71
     
   | 
| Create/Update Files | 4973.68 | 
     
      5331.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Rebuild | 10590.28 | 
     
      11591.00
     
   | 
  ms | 
     
       
      0.91
     
   | 
| Render Style/Material | 628.78 | 
     
      2448.00
     
   | 
  ms | 
     
       
      0.26
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      26.82
     
   | 
  fps | 
     
       
      1.10
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      234.39
     
   | 
  sec | 
     
       
      0.97
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      153.83
     
   | 
  sec | 
     
       
      5.22
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      198.97
     
   | 
  iterations/sec | 
     
       
      1.44
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      98.20
     
   | 
  fps | 
     
       
      5.59
     
   | 
| creo | 48.42 | 
     
      202.93
     
   | 
  fps | 
     
       
      4.19
     
   | 
| solidworks | 42.90 | 
     
      333.37
     
   | 
  fps | 
     
       
      7.77
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      2180.90
     
   | 
  points | 
     
       
      1.56
     
   | 
| cfd | 1921.51 | 
     
      1989.18
     
   | 
  points | 
     
       
      1.04
     
   | 
| icePack | 1543.34 | 
     
      1670.18
     
   | 
  points | 
     
       
      1.08
     
   | 
| mcad | 2612.50 | 
     
      3294.75
     
   | 
  points | 
     
       
      1.26
     
   | 
| proddev | 659.82 | 
     
      643.41
     
   | 
  points | 
     
       
      0.97
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.21 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.74
     
   | 
  sec | 
     
       
      1.26
     
   | 
| Compression | 254.57 | 
     
      59.92
     
   | 
  sec | 
     
       
      4.25
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      528.59
     
   | 
  sec | 
     
       
      1.06
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.04
     
   | 
  sec/operation | 
     
       
      1.15
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.14
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.54
     
   | 
  sec | 
     
       
      0.67
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.14
     
   | 
  sec | 
     
       
      1.07
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      8.40
     
   | 
  sec | 
     
       
      0.96
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      15.83
     
   | 
  sec | 
     
       
      0.98
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.47
     
   | 
  sec | 
     
       
      1.08
     
   | 
| Multi-Matrix | 65.50 | 
     
      61.79
     
   | 
  sec | 
     
       
      1.06
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      512.96
     
   | 
  points | 
     
       
      1.19
     
   | 
| mozillaVS | 7708.43 | 
     
      6127.22
     
   | 
  points | 
     
       
      0.80
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            4.60
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      232.94
     
   | 
  fps | 
     
       
      1.37
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      275.30
     
   | 
  fps | 
     
       
      2.14
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      34.26
     
   | 
  inferences/sec | 
     
       
      8.74
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      59.37
     
   | 
  inferences/sec | 
     
       
      30.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      30.92
     
   | 
  inferences/sec | 
     
       
      4.69
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      35.39
     
   | 
  inferences/sec | 
     
       
      18.40
     
   | 
            1.17
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.74
     
   | 
  sec | 
     
       
      1.26
     
   | 
| Compression | 254.57 | 
     
      59.92
     
   | 
  sec | 
     
       
      4.25
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5966.00
     
   | 
  ms | 
     
       
      0.71
     
   | 
| Create/Update Files | 4973.68 | 
     
      5331.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Rebuild | 10590.28 | 
     
      11591.00
     
   | 
  ms | 
     
       
      0.91
     
   | 
| Render Style/Material | 628.78 | 
     
      2448.00
     
   | 
  ms | 
     
       
      0.26
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      97.96
     
   | 
  sec | 
     
       
      2.88
     
   | 
| BMW27 | 43.82 | 
     
      45.95
     
   | 
  sec | 
     
       
      0.95
     
   | 
| BMW1M | 17.74 | 
     
      17.82
     
   | 
  sec | 
     
       
      1.00
     
   | 
| Island | 29.68 | 
     
      33.12
     
   | 
  sec | 
     
       
      0.90
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.09
     
   | 
  iterations/sec | 
     
       
      0.95
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      110.04
     
   | 
  sec | 
     
       
      1.20
     
   | 
| Scikit-learn | 449.17 | 
     
      331.14
     
   | 
  sec | 
     
       
      1.36
     
   | 
| XGBoost | 91.50 | 
     
      57.65
     
   | 
  sec | 
     
       
      1.59
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      184.75
     
   | 
  sec | 
     
       
      1.06
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      42.78
     
   | 
  sec | 
     
       
      0.90
     
   | 
| x265 4K to 4K | 107.73 | 
     
      110.37
     
   | 
  sec | 
     
       
      0.98
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      14.19
     
   | 
  sec | 
     
       
      3.52
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      26.82
     
   | 
  fps | 
     
       
      1.10
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      804.31
     
   | 
  tau/day | 
     
       
      1.14
     
   | 
| CHAIN | 1190.35 | 
     
      1601.95
     
   | 
  tau/day | 
     
       
      1.35
     
   | 
| EAM | 0.63 | 
     
      0.71
     
   | 
  ns/day | 
     
       
      1.13
     
   | 
| CHUTE | 38.25 | 
     
      48.92
     
   | 
  tau/day | 
     
       
      1.28
     
   | 
| RHODO | 0.26 | 
     
      0.26
     
   | 
  ns/day | 
     
       
      1.00
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      528.59
     
   | 
  sec | 
     
       
      1.06
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      2.80
     
   | 
  Msamples/sec | 
     
       
      1.14
     
   | 
| Food | 1.84 | 
     
      2.06
     
   | 
  Msamples/sec | 
     
       
      1.12
     
   | 
| Danish Mood | 2.29 | 
     
      2.06
     
   | 
  Msamples/sec | 
     
       
      0.90
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.14
     
   | 
  Msamples/sec | 
     
       
      1.04
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      234.39
     
   | 
  sec | 
     
       
      0.97
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      43.17
     
   | 
  ms/step | 
     
       
      1.05
     
   | 
| f1atpase | 130.50 | 
     
      131.60
     
   | 
  ms/step | 
     
       
      0.99
     
   | 
| stmv | 448.57 | 
     
      421.93
     
   | 
  ms/step | 
     
       
      1.06
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.04
     
   | 
  sec/operation | 
     
       
      1.15
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.14
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      78.94
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      14.39
     
   | 
  inferences/sec | 
     
       
      0.79
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      29.79
     
   | 
  ms | 
     
       
      0.75
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      39.91
     
   | 
  inferences/sec | 
     
       
      0.86
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      72.02
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      19.33
     
   | 
  inferences/sec | 
     
       
      0.93
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      28.92
     
   | 
  ms | 
     
       
      0.74
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      51.00
     
   | 
  inferences/sec | 
     
       
      0.91
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      153.83
     
   | 
  sec | 
     
       
      5.22
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      29362.26
     
   | 
  options/sec | 
     
       
      0.84
     
   | 
| Black-Scholes | 3389.63 | 
     
      3088.18
     
   | 
  Moptions/sec | 
     
       
      0.91
     
   | 
| Binomial | 79377.62 | 
     
      58901.67
     
   | 
  options/sec | 
     
       
      0.74
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      21.28
     
   | 
  iterations/sec | 
     
       
      1.33
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.55
     
   | 
  iterations/sec | 
     
       
      1.22
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.54
     
   | 
  sec | 
     
       
      0.67
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.14
     
   | 
  sec | 
     
       
      1.07
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      8.40
     
   | 
  sec | 
     
       
      0.96
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      15.83
     
   | 
  sec | 
     
       
      0.98
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.47
     
   | 
  sec | 
     
       
      1.08
     
   | 
| Multi-Matrix | 65.50 | 
     
      61.79
     
   | 
  sec | 
     
       
      1.06
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      198.97
     
   | 
  iterations/sec | 
     
       
      1.44
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.70
     
   | 
  fps | 
     
       
      1.02
     
   | 
| HotSpot | 8.55 | 
     
      8.69
     
   | 
  sec | 
     
       
      0.98
     
   | 
| LavaMD | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      0.99
     
   | 
| SRAD | 47.04 | 
     
      55.63
     
   | 
  iterations/sec | 
     
       
      1.18
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      23.27
     
   | 
  sec | 
     
       
      0.84
     
   | 
            7.91
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      177.76
     
   | 
  fps | 
     
       
      11.10
     
   | 
| catia | 17.57 | 
     
      98.20
     
   | 
  fps | 
     
       
      5.59
     
   | 
| creo | 48.42 | 
     
      202.93
     
   | 
  fps | 
     
       
      4.19
     
   | 
| energy | 11.48 | 
     
      139.51
     
   | 
  fps | 
     
       
      12.20
     
   | 
| maya | 62.09 | 
     
      391.50
     
   | 
  fps | 
     
       
      6.31
     
   | 
| medical | 9.63 | 
     
      120.19
     
   | 
  fps | 
     
       
      12.50
     
   | 
| solidworks | 42.90 | 
     
      333.37
     
   | 
  fps | 
     
       
      7.77
     
   | 
            1.19
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4069.25
     
   | 
  points | 
     
       
      1.23
     
   | 
| 7zip | 431.06 | 
     
      512.96
     
   | 
  points | 
     
       
      1.19
     
   | 
| ccx | 1398.45 | 
     
      2180.90
     
   | 
  points | 
     
       
      1.56
     
   | 
| cfd | 1921.51 | 
     
      1989.18
     
   | 
  points | 
     
       
      1.04
     
   | 
| energy | 1547.93 | 
     
      1444.91
     
   | 
  points | 
     
       
      0.93
     
   | 
| handbrake | 1897.99 | 
     
      2644.89
     
   | 
  points | 
     
       
      1.39
     
   | 
| icePack | 1543.34 | 
     
      1670.18
     
   | 
  points | 
     
       
      1.08
     
   | 
| maya | 2037.06 | 
     
      3374.88
     
   | 
  points | 
     
       
      1.66
     
   | 
| MayaVenice | 472.63 | 
     
      827.22
     
   | 
  points | 
     
       
      1.75
     
   | 
| MandE | 1625.72 | 
     
      1656.02
     
   | 
  points | 
     
       
      1.02
     
   | 
| mcad | 2612.50 | 
     
      3294.75
     
   | 
  points | 
     
       
      1.26
     
   | 
| mozillaVS | 7708.43 | 
     
      6127.22
     
   | 
  points | 
     
       
      0.80
     
   | 
| namd | 1250.61 | 
     
      1459.91
     
   | 
  points | 
     
       
      1.17
     
   | 
| proddev | 659.82 | 
     
      643.41
     
   | 
  points | 
     
       
      0.97
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 20, 2024, 9:41:49 PM EST | 
                         
                             2.95
                         
                     | 
                ||||
| Decompression | 12.74 sec | 16.04 | 
     
      12.74
     
   | 
  sec | 
     
       
      1.26
     
   | 
|
| Compression | 59.92 sec | 254.57 | 
     
      59.92
     
   | 
  sec | 
     
       
      4.25
     
   | 
|
| Autodesk Inventor | Nov 20, 2024, 9:43:05 PM EST | 
                         
                             0.63
                         
                     | 
                ||||
| Open Document | 6.15 sec | 4253.73 | 
     
      5966.00
     
   | 
  ms | 
     
       
      0.71
     
   | 
|
| Create/Update Files | 7.03 sec | 4973.68 | 
     
      5331.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
|
| Rebuild | 11.78 sec | 10590.28 | 
     
      11591.00
     
   | 
  ms | 
     
       
      0.91
     
   | 
|
| Render Style/Material | 2.63 sec | 628.78 | 
     
      2448.00
     
   | 
  ms | 
     
       
      0.26
     
   | 
|
| Blender | Nov 20, 2024, 9:44:06 PM EST | 
                         
                             1.25
                         
                     | 
                ||||
| Classroom | 97.96 sec | 281.72 | 
     
      97.96
     
   | 
  sec | 
     
       
      2.88
     
   | 
|
| BMW27 | 45.95 sec | 43.82 | 
     
      45.95
     
   | 
  sec | 
     
       
      0.95
     
   | 
|
| BMW1M | 17.82 sec | 17.74 | 
     
      17.82
     
   | 
  sec | 
     
       
      1.00
     
   | 
|
| Island | 33.12 sec | 29.68 | 
     
      33.12
     
   | 
  sec | 
     
       
      0.90
     
   | 
|
| Convolution | Nov 20, 2024, 9:47:25 PM EST | 
                         
                             0.95
                         
                     | 
                ||||
| 20K/100 | 36.71 sec | 0.09 | 
     
      0.09
     
   | 
  iterations/sec | 
     
       
      0.95
     
   | 
|
| Data Science | Nov 20, 2024, 9:48:02 PM EST | 
                         
                             1.37
                         
                     | 
                ||||
| Pandas | 141.06 sec | 131.99 | 
     
      110.04
     
   | 
  sec | 
     
       
      1.20
     
   | 
|
| Scikit-learn | 335.13 sec | 449.17 | 
     
      331.14
     
   | 
  sec | 
     
       
      1.36
     
   | 
|
| XGBoost | 77.74 sec | 91.50 | 
     
      57.65
     
   | 
  sec | 
     
       
      1.59
     
   | 
|
| HandBrake | Nov 20, 2024, 9:57:28 PM EST | 
                         
                             1.46
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 184.75 sec | 195.16 | 
     
      184.75
     
   | 
  sec | 
     
       
      1.06
     
   | 
|
| x265 4K to 1080p | 45.18 sec | 38.36 | 
     
      42.78
     
   | 
  sec | 
     
       
      0.90
     
   | 
|
| x265 4K to 4K | 112.92 sec | 107.73 | 
     
      110.37
     
   | 
  sec | 
     
       
      0.98
     
   | 
|
| x264 1080p to 1080p | 14.19 sec | 49.98 | 
     
      14.19
     
   | 
  sec | 
     
       
      3.52
     
   | 
|
| GPU H.265 4K to 4K | 66.69 sec | 169.65 | 
     
      115.93
     
   | 
  fps | 
     
       
      0.68
     
   | 
|
| GPU H.265 4K to 4K | 57.69 sec | 169.65 | 
     
      232.94
     
   | 
  fps | 
     
       
      1.37
     
   | 
|
| GPU H.265 4K to 1080p | 211.54 sec | 128.84 | 
     
      253.35
     
   | 
  fps | 
     
       
      1.97
     
   | 
|
| GPU H.265 4K to 1080p | 220.46 sec | 128.84 | 
     
      275.30
     
   | 
  fps | 
     
       
      2.14
     
   | 
|
| Hidden Line Removal | Nov 20, 2024, 10:12:48 PM EST | 
                         
                             1.10
                         
                     | 
                ||||
| Palatov | 16.95 sec | 24.29 | 
     
      26.82
     
   | 
  fps | 
     
       
      1.10
     
   | 
|
| Palatov | 17.21 sec | 24.29 | 
     
      23.64
     
   | 
  fps | 
     
       
      0.97
     
   | 
|
| LAMMPS | Nov 20, 2024, 10:13:23 PM EST | 
                         
                             1.17
                         
                     | 
                ||||
| LJ | 18.58 sec | 705.82 | 
     
      804.31
     
   | 
  tau/day | 
     
       
      1.14
     
   | 
|
| CHAIN | 14.44 sec | 1190.35 | 
     
      1601.95
     
   | 
  tau/day | 
     
       
      1.35
     
   | 
|
| EAM | 19.47 sec | 0.63 | 
     
      0.71
     
   | 
  ns/day | 
     
       
      1.13
     
   | 
|
| CHUTE | 8.49 sec | 38.25 | 
     
      48.92
     
   | 
  tau/day | 
     
       
      1.28
     
   | 
|
| RHODO | 9.67 sec | 0.26 | 
     
      0.26
     
   | 
  ns/day | 
     
       
      1.00
     
   | 
|
| LLVM Clang | Nov 20, 2024, 10:14:33 PM EST | 
                         
                             1.06
                         
                     | 
                ||||
| PyTorch | 545.66 sec | 562.76 | 
     
      528.59
     
   | 
  sec | 
     
       
      1.06
     
   | 
|
| LuxCoreRender | Nov 20, 2024, 10:24:29 PM EST | 
                         
                             1.05
                         
                     | 
                ||||
| DLSC | 17.68 sec | 2.46 | 
     
      2.80
     
   | 
  Msamples/sec | 
     
       
      1.14
     
   | 
|
| Food | 25.58 sec | 1.84 | 
     
      2.06
     
   | 
  Msamples/sec | 
     
       
      1.12
     
   | 
|
| Danish Mood | 72.48 sec | 2.29 | 
     
      2.06
     
   | 
  Msamples/sec | 
     
       
      0.90
     
   | 
|
| Procedural Leaves | 47.14 sec | 1.10 | 
     
      1.14
     
   | 
  Msamples/sec | 
     
       
      1.04
     
   | 
|
| MFEM | Nov 20, 2024, 10:27:12 PM EST | 
                         
                             0.97
                         
                     | 
                ||||
| Dynamic AMR | 234.39 sec | 227.39 | 
     
      234.39
     
   | 
  sec | 
     
       
      0.97
     
   | 
|
| NAMD | Nov 20, 2024, 10:31:07 PM EST | 
                         
                             1.03
                         
                     | 
                ||||
| apoa1 | 13.02 sec | 45.38 | 
     
      43.17
     
   | 
  ms/step | 
     
       
      1.05
     
   | 
|
| f1atpase | 21.43 sec | 130.50 | 
     
      131.60
     
   | 
  ms/step | 
     
       
      0.99
     
   | 
|
| stmv | 48.72 sec | 448.57 | 
     
      421.93
     
   | 
  ms/step | 
     
       
      1.06
     
   | 
|
| Octave | Nov 20, 2024, 10:32:30 PM EST | 
                         
                             1.14
                         
                     | 
                ||||
| obench | 46.95 sec | 1.20 | 
     
      1.04
     
   | 
  sec/operation | 
     
       
      1.15
     
   | 
|
| benchmark2 | 10.77 sec | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.14
     
   | 
|
| ONNX Inference | Nov 20, 2024, 10:33:36 PM EST | 
                         
                             2.03
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.42 sec | 63.72 | 
     
      78.94
     
   | 
  ms | 
     
       
      0.81
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.21 sec | 18.33 | 
     
      14.39
     
   | 
  inferences/sec | 
     
       
      0.79
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.08 sec | 18.33 | 
     
      13.20
     
   | 
  inferences/sec | 
     
       
      0.72
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.17 sec | 22.37 | 
     
      29.79
     
   | 
  ms | 
     
       
      0.75
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.52 sec | 46.62 | 
     
      39.91
     
   | 
  inferences/sec | 
     
       
      0.86
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.74 sec | 46.62 | 
     
      37.40
     
   | 
  inferences/sec | 
     
       
      0.80
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.16 sec | 58.42 | 
     
      72.02
     
   | 
  ms | 
     
       
      0.81
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.86 sec | 20.87 | 
     
      19.33
     
   | 
  inferences/sec | 
     
       
      0.93
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.48 sec | 20.87 | 
     
      16.89
     
   | 
  inferences/sec | 
     
       
      0.81
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 | 
     
      28.92
     
   | 
  ms | 
     
       
      0.74
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.37 sec | 55.92 | 
     
      51.00
     
   | 
  inferences/sec | 
     
       
      0.91
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.64 sec | 55.92 | 
     
      43.66
     
   | 
  inferences/sec | 
     
       
      0.78
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 22.18 sec | 3.92 | 
     
      34.11
     
   | 
  inferences/sec | 
     
       
      8.70
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.65 sec | 3.92 | 
     
      34.26
     
   | 
  inferences/sec | 
     
       
      8.74
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.63 sec | 1.92 | 
     
      58.11
     
   | 
  inferences/sec | 
     
       
      30.30
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.72 sec | 1.92 | 
     
      59.37
     
   | 
  inferences/sec | 
     
       
      30.90
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.55 sec | 6.59 | 
     
      30.78
     
   | 
  inferences/sec | 
     
       
      4.67
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.41 sec | 6.59 | 
     
      30.92
     
   | 
  inferences/sec | 
     
       
      4.69
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.48 sec | 1.92 | 
     
      35.39
     
   | 
  inferences/sec | 
     
       
      18.40
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.37 sec | 1.92 | 
     
      35.23
     
   | 
  inferences/sec | 
     
       
      18.30
     
   | 
|
| OpenFOAM | Nov 20, 2024, 10:40:36 PM EST | 
                         
                             5.22
                         
                     | 
                ||||
| XiFoam Solver | 163.11 sec | 803.27 | 
     
      153.83
     
   | 
  sec | 
     
       
      5.22
     
   | 
|
| XiFoam Solver | 192.00 sec | 803.27 | 
     
      182.32
     
   | 
  sec | 
     
       
      4.41
     
   | 
|
| Options Pricing | Nov 20, 2024, 10:46:35 PM EST | 
                         
                             0.83
                         
                     | 
                ||||
| Monte Carlo | 35.78 sec | 35137.48 | 
     
      29362.26
     
   | 
  options/sec | 
     
       
      0.84
     
   | 
|
| Black-Scholes | 22.50 sec | 3389.63 | 
     
      3088.18
     
   | 
  Moptions/sec | 
     
       
      0.91
     
   | 
|
| Binomial | 17.86 sec | 79377.62 | 
     
      58901.67
     
   | 
  options/sec | 
     
       
      0.74
     
   | 
|
| Poisson | Nov 20, 2024, 10:47:51 PM EST | 
                         
                             1.27
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.08 sec | 16.05 | 
     
      21.28
     
   | 
  iterations/sec | 
     
       
      1.33
     
   | 
|
| Jacobi Rectangular Grid | 10.05 sec | 16.05 | 
     
      19.84
     
   | 
  iterations/sec | 
     
       
      1.24
     
   | 
|
| Jacobi Square Grid | 10.22 sec | 6.19 | 
     
      7.55
     
   | 
  iterations/sec | 
     
       
      1.22
     
   | 
|
| Jacobi Square Grid | 10.14 sec | 6.19 | 
     
      7.01
     
   | 
  iterations/sec | 
     
       
      1.13
     
   | 
|
| Python 3 | Nov 20, 2024, 10:48:31 PM EST | 
                         
                             1.00
                         
                     | 
                ||||
| NumPy Create Matrix | 8.48 sec | 0.36 | 
     
      0.54
     
   | 
  sec | 
     
       
      0.67
     
   | 
|
| NumPy Add Matrix | 4.80 sec | 4.44 | 
     
      4.14
     
   | 
  sec | 
     
       
      1.07
     
   | 
|
| NumPy Multiply Matrix | 9.05 sec | 8.06 | 
     
      8.40
     
   | 
  sec | 
     
       
      0.96
     
   | 
|
| NumPy Invert Matrix | 16.50 sec | 15.53 | 
     
      15.83
     
   | 
  sec | 
     
       
      0.98
     
   | 
|
| NumPy Sin Matrix | 3.13 sec | 2.67 | 
     
      2.47
     
   | 
  sec | 
     
       
      1.08
     
   | 
|
| Multi-Matrix | 62.46 sec | 65.50 | 
     
      61.79
     
   | 
  sec | 
     
       
      1.06
     
   | 
|
| Rodinia CFD | Nov 20, 2024, 10:50:25 PM EST | 
                         
                             1.44
                         
                     | 
                ||||
| Pre-Euler | 33.03 sec | 138.14 | 
     
      198.97
     
   | 
  iterations/sec | 
     
       
      1.44
     
   | 
|
| Rodinia Life Sciences | Nov 20, 2024, 10:50:58 PM EST | 
                         
                             1.04
                         
                     | 
                ||||
| Heart Wall | 11.55 sec | 0.69 | 
     
      0.70
     
   | 
  fps | 
     
       
      1.02
     
   | 
|
| HotSpot | 9.74 sec | 8.55 | 
     
      8.69
     
   | 
  sec | 
     
       
      0.98
     
   | 
|
| LavaMD | 14.87 sec | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      0.99
     
   | 
|
| SRAD | 10.22 sec | 47.04 | 
     
      55.63
     
   | 
  iterations/sec | 
     
       
      1.18
     
   | 
|
| SRMP | Nov 20, 2024, 10:51:45 PM EST | 
                         
                             0.84
                         
                     | 
                ||||
| 2D | 23.69 sec | 19.45 | 
     
      23.27
     
   | 
  sec | 
     
       
      0.84
     
   | 
|
| Viewport Graphics | Nov 20, 2024, 10:52:08 PM EST | 
                         
                             7.91
                         
                     | 
                ||||
| 3dsmax | 158.78 sec | 15.96 | 
     
      177.76
     
   | 
  fps | 
     
       
      11.10
     
   | 
|
| catia | 135.41 sec | 17.57 | 
     
      98.20
     
   | 
  fps | 
     
       
      5.59
     
   | 
|
| creo | 226.42 sec | 48.42 | 
     
      202.93
     
   | 
  fps | 
     
       
      4.19
     
   | 
|
| energy | 79.18 sec | 11.48 | 
     
      139.51
     
   | 
  fps | 
     
       
      12.20
     
   | 
|
| maya | 141.07 sec | 62.09 | 
     
      391.50
     
   | 
  fps | 
     
       
      6.31
     
   | 
|
| medical | 75.31 sec | 9.63 | 
     
      120.19
     
   | 
  fps | 
     
       
      12.50
     
   | 
|
| solidworks | 83.01 sec | 42.90 | 
     
      333.37
     
   | 
  fps | 
     
       
      7.77
     
   | 
|
| WPCstorage | Nov 20, 2024, 11:08:10 PM EST | 
                         
                             1.19
                         
                     | 
                ||||
| 3dsmax | 51.76 sec | 3299.42 | 
     
      4069.25
     
   | 
  points | 
     
       
      1.23
     
   | 
|
| 7zip | 55.13 sec | 431.06 | 
     
      512.96
     
   | 
  points | 
     
       
      1.19
     
   | 
|
| ccx | 11.61 sec | 1398.45 | 
     
      2180.90
     
   | 
  points | 
     
       
      1.56
     
   | 
|
| cfd | 12.25 sec | 1921.51 | 
     
      1989.18
     
   | 
  points | 
     
       
      1.04
     
   | 
|
| energy | 21.58 sec | 1547.93 | 
     
      1444.91
     
   | 
  points | 
     
       
      0.93
     
   | 
|
| handbrake | 15.49 sec | 1897.99 | 
     
      2644.89
     
   | 
  points | 
     
       
      1.39
     
   | 
|
| icePack | 54.50 sec | 1543.34 | 
     
      1670.18
     
   | 
  points | 
     
       
      1.08
     
   | 
|
| maya | 43.23 sec | 2037.06 | 
     
      3374.88
     
   | 
  points | 
     
       
      1.66
     
   | 
|
| MayaVenice | 24.83 sec | 472.63 | 
     
      827.22
     
   | 
  points | 
     
       
      1.75
     
   | 
|
| MandE | 20.67 sec | 1625.72 | 
     
      1656.02
     
   | 
  points | 
     
       
      1.02
     
   | 
|
| mcad | 59.27 sec | 2612.50 | 
     
      3294.75
     
   | 
  points | 
     
       
      1.26
     
   | 
|
| mozillaVS | 30.00 sec | 7708.43 | 
     
      6127.22
     
   | 
  points | 
     
       
      0.80
     
   | 
|
| namd | 16.43 sec | 1250.61 | 
     
      1459.91
     
   | 
  points | 
     
       
      1.17
     
   | 
|
| proddev | 18.21 sec | 659.82 | 
     
      643.41
     
   | 
  points | 
     
       
      0.97
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 21FWZB12USModel: Lenovo ThinkPad P1 Gen 6
Version: 21KWZC4AUS
Manufacturer: LENOVO
Serial Number: W1CG3480A53
BIOS: LENOVO N3ZET27W (1.14 )
BIOS Version: LENOVO - 10140 (2023-09-13)
      
      PROCESSOR
    
    CPU #1: 13th Gen Intel(R) Core(TM) i9-13900H (2600MHz / 14C / 20T)
      
      MEMORY
    
    BANK 0/1 (Controller0-ChannelA/B-DIMM0): SK Hynix HMCG88AGBAA092N      (32.00 GB / 5600 MHz / DDR5)BANK 0/1 (Controller1-ChannelA/B-DIMM0): SK Hynix HMCG88AGBAA092N (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
      
      STORAGE
    
    Disk #1: KXG8AZN84T09 LA KIOXIA (3815.44 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (3813.22 GB)
Partition 3: GPT: Unknown (1.95 GB)
Available Volumes
C: (Windows): NTFS (3715.55 GB of 3813.22 GB Available)
      
      NETWORK
    
    Adapter #1: Bluetooth Device (Personal Area Network)Type: Ethernet 802.3 | MAC: 08:9D:F4:79:AB:C0 | Speed: Not Connected
Adapter #2: Intel(R) Wi-Fi 6E AX211 160MHz
Type: Ethernet 802.3 | MAC: 08:9D:F4:79:AB:BC | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: Intel(R) Iris(R) Xe GraphicsVideo Memory: 31.96 GB
Current Resolution: 3840x2400 @ 60 Hz (32-bit Color)
Driver Version: 32.0.101.5972 (2024-08-18)
Adapter #2: NVIDIA RTX 5000 Ada Generation Laptop GPU
Video Memory: 15.99 GB
Current Resolution: Unknown
Driver Version: 31.0.15.3878 (2024-06-09)
        
        DISPLAY
      
      Display #1: LENOVO GROUP LIMITED Internal Display 15.9" (3840x2400)Model: 4146 | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1920x1200 @ 32 bpp
                
                BATTERY
              
            Battery #1 (Front): P/N: 5B11K07737 | Mfg: Sunwoda | Charge Level: 99%
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.2033 (Release 2009)
Installation Date: 2024-11-08
Free Memory: 55.50 GB (Physical) | 58.49 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)