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 | Dell Inc. | 
| Model | Precision 7780 | 
| CPU | 13th Gen Intel(R) Core(TM) i9-13950HX | 
| Memory | 32.00 GB @ 5600 MHz | 
| GPU | 1x NVIDIA RTX 5000 Ada Generation Laptop GPU 1x Intel(R) UHD Graphics  | 
          
| Display | Internal Display 17.1" (3840x2160) | 
          
| Storage | Intel Raid 10 Volume 953.87 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (22631) | 
Submission Details
| Result Date | Wed Nov 20 2024 01:09:23 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          1.96 | 
Energy  | 
          1.82 | 
Financial Services  | 
          1.06 | 
Life Sciences  | 
          2.15 | 
Media & Entertainment  | 
          2.04 | 
Product Design  | 
          1.88 | 
Productivity & Development  | 
          1.40 | 
Hardware Subsystem Scores
| CPU | 1.47 | 
| Accelerator | 5.11 | 
| Graphics | 8.96 | 
| Storage | 0.87 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.42 | 
| Autodesk Inventor | 0.76 | 
| Blender | 1.70 | 
| Convolution | 1.30 | 
| Data Science | 1.47 | 
| HandBrake | 1.67 | 
| Hidden Line Removal | 1.31 | 
| LAMMPS | 1.48 | 
| LLVM Clang | 1.48 | 
| LuxCoreRender | 1.46 | 
| MFEM | 1.36 | 
| NAMD | 1.37 | 
| Octave | 1.09 | 
| ONNX Inference | 2.62 | 
| OpenFOAM | 6.77 | 
| Options Pricing | 1.06 | 
| Poisson | 1.30 | 
| Python 3 | 1.20 | 
| Rodinia CFD | 1.91 | 
| Rodinia Life Sciences | 1.41 | 
| SRMP | 1.13 | 
| Viewport Graphics | 8.96 | 
| WPCstorage | 0.87 | 
Industry Vertical Scores
| AI & Machine Learning | 1.96 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      110.62
     
   | 
  sec | 
     
       
      1.19
     
   | 
| Scikit-learn | 449.17 | 
     
      262.68
     
   | 
  sec | 
     
       
      1.71
     
   | 
| XGBoost | 91.50 | 
     
      58.74
     
   | 
  sec | 
     
       
      1.56
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      49.77
     
   | 
  ms | 
     
       
      1.28
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      20.52
     
   | 
  inferences/sec | 
     
       
      1.12
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      28.38
     
   | 
  ms | 
     
       
      0.79
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      52.61
     
   | 
  inferences/sec | 
     
       
      1.13
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      50.64
     
   | 
  ms | 
     
       
      1.15
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      25.59
     
   | 
  inferences/sec | 
     
       
      1.23
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      22.62
     
   | 
  ms | 
     
       
      0.94
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      64.38
     
   | 
  inferences/sec | 
     
       
      1.15
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      45.70
     
   | 
  inferences/sec | 
     
       
      11.70
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      80.37
     
   | 
  inferences/sec | 
     
       
      41.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      36.10
     
   | 
  inferences/sec | 
     
       
      5.48
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      38.93
     
   | 
  inferences/sec | 
     
       
      20.30
     
   | 
Industry Vertical Scores
| Energy | 1.82 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      20.93
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      8.07
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      17.27
     
   | 
  sec | 
     
       
      1.13
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      161.33
     
   | 
  fps | 
     
       
      14.10
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1156.68
     
   | 
  points | 
     
       
      0.75
     
   | 
Industry Vertical Scores
| Financial Services | 1.06 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      37758.64
     
   | 
  options/sec | 
     
       
      1.07
     
   | 
| Black-Scholes | 3389.63 | 
     
      3948.93
     
   | 
  Moptions/sec | 
     
       
      1.17
     
   | 
| Binomial | 79377.62 | 
     
      74610.71
     
   | 
  options/sec | 
     
       
      0.94
     
   | 
Industry Vertical Scores
| Life Sciences | 2.15 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1111.62
     
   | 
  tau/day | 
     
       
      1.57
     
   | 
| CHAIN | 1190.35 | 
     
      2060.24
     
   | 
  tau/day | 
     
       
      1.73
     
   | 
| EAM | 0.63 | 
     
      0.93
     
   | 
  ns/day | 
     
       
      1.47
     
   | 
| CHUTE | 38.25 | 
     
      49.19
     
   | 
  tau/day | 
     
       
      1.29
     
   | 
| RHODO | 0.26 | 
     
      0.36
     
   | 
  ns/day | 
     
       
      1.38
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      34.33
     
   | 
  ms/step | 
     
       
      1.32
     
   | 
| f1atpase | 130.50 | 
     
      97.25
     
   | 
  ms/step | 
     
       
      1.34
     
   | 
| stmv | 448.57 | 
     
      310.84
     
   | 
  ms/step | 
     
       
      1.44
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.93
     
   | 
  fps | 
     
       
      1.34
     
   | 
| HotSpot | 8.55 | 
     
      5.25
     
   | 
  sec | 
     
       
      1.63
     
   | 
| LavaMD | 0.07 | 
     
      0.10
     
   | 
  iterations/sec | 
     
       
      1.40
     
   | 
| SRAD | 47.04 | 
     
      60.13
     
   | 
  iterations/sec | 
     
       
      1.28
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      141.29
     
   | 
  fps | 
     
       
      14.70
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1375.84
     
   | 
  points | 
     
       
      1.10
     
   | 
Industry Vertical Scores
| Media & Entertainment | 2.04 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      66.53
     
   | 
  sec | 
     
       
      4.23
     
   | 
| BMW27 | 43.82 | 
     
      35.08
     
   | 
  sec | 
     
       
      1.25
     
   | 
| BMW1M | 17.74 | 
     
      13.60
     
   | 
  sec | 
     
       
      1.30
     
   | 
| Island | 29.68 | 
     
      24.52
     
   | 
  sec | 
     
       
      1.21
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      145.40
     
   | 
  sec | 
     
       
      1.34
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      33.98
     
   | 
  sec | 
     
       
      1.13
     
   | 
| x265 4K to 4K | 107.73 | 
     
      89.41
     
   | 
  sec | 
     
       
      1.20
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      12.30
     
   | 
  sec | 
     
       
      4.06
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      165.67
     
   | 
  fps | 
     
       
      0.98
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      384.90
     
   | 
  fps | 
     
       
      2.99
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      3.97
     
   | 
  Msamples/sec | 
     
       
      1.61
     
   | 
| Food | 1.84 | 
     
      3.00
     
   | 
  Msamples/sec | 
     
       
      1.63
     
   | 
| Danish Mood | 2.29 | 
     
      2.83
     
   | 
  Msamples/sec | 
     
       
      1.24
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.53
     
   | 
  Msamples/sec | 
     
       
      1.39
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      202.01
     
   | 
  fps | 
     
       
      12.70
     
   | 
| maya | 62.09 | 
     
      454.13
     
   | 
  fps | 
     
       
      7.31
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      2921.27
     
   | 
  points | 
     
       
      0.89
     
   | 
| handbrake | 1897.99 | 
     
      1801.82
     
   | 
  points | 
     
       
      0.95
     
   | 
| maya | 2037.06 | 
     
      1390.06
     
   | 
  points | 
     
       
      0.68
     
   | 
| MayaVenice | 472.63 | 
     
      517.30
     
   | 
  points | 
     
       
      1.09
     
   | 
| MandE | 1625.72 | 
     
      1414.39
     
   | 
  points | 
     
       
      0.87
     
   | 
Industry Vertical Scores
| Product Design | 1.88 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      6050.00
     
   | 
  ms | 
     
       
      0.70
     
   | 
| Create/Update Files | 4973.68 | 
     
      5242.00
     
   | 
  ms | 
     
       
      0.95
     
   | 
| Rebuild | 10590.28 | 
     
      10457.00
     
   | 
  ms | 
     
       
      1.01
     
   | 
| Render Style/Material | 628.78 | 
     
      1242.00
     
   | 
  ms | 
     
       
      0.51
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      31.91
     
   | 
  fps | 
     
       
      1.31
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      166.67
     
   | 
  sec | 
     
       
      1.36
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      118.61
     
   | 
  sec | 
     
       
      6.77
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      263.63
     
   | 
  iterations/sec | 
     
       
      1.91
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      107.90
     
   | 
  fps | 
     
       
      6.14
     
   | 
| creo | 48.42 | 
     
      207.00
     
   | 
  fps | 
     
       
      4.28
     
   | 
| solidworks | 42.90 | 
     
      394.60
     
   | 
  fps | 
     
       
      9.20
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1149.57
     
   | 
  points | 
     
       
      0.82
     
   | 
| cfd | 1921.51 | 
     
      1114.57
     
   | 
  points | 
     
       
      0.58
     
   | 
| icePack | 1543.34 | 
     
      1013.73
     
   | 
  points | 
     
       
      0.66
     
   | 
| mcad | 2612.50 | 
     
      2495.13
     
   | 
  points | 
     
       
      0.95
     
   | 
| proddev | 659.82 | 
     
      501.85
     
   | 
  points | 
     
       
      0.76
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.40 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.99
     
   | 
  sec | 
     
       
      1.23
     
   | 
| Compression | 254.57 | 
     
      47.91
     
   | 
  sec | 
     
       
      5.31
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      379.78
     
   | 
  sec | 
     
       
      1.48
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.11
     
   | 
  sec/operation | 
     
       
      1.08
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.10
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.35
     
   | 
  sec | 
     
       
      1.02
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.30
     
   | 
  sec | 
     
       
      1.03
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      7.21
     
   | 
  sec | 
     
       
      1.12
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      12.54
     
   | 
  sec | 
     
       
      1.24
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.61
     
   | 
  sec | 
     
       
      1.02
     
   | 
| Multi-Matrix | 65.50 | 
     
      48.71
     
   | 
  sec | 
     
       
      1.34
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      728.16
     
   | 
  points | 
     
       
      1.69
     
   | 
| mozillaVS | 7708.43 | 
     
      6017.98
     
   | 
  points | 
     
       
      0.78
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            5.11
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      165.67
     
   | 
  fps | 
     
       
      0.98
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      384.90
     
   | 
  fps | 
     
       
      2.99
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      45.70
     
   | 
  inferences/sec | 
     
       
      11.70
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      80.37
     
   | 
  inferences/sec | 
     
       
      41.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      36.10
     
   | 
  inferences/sec | 
     
       
      5.48
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      38.93
     
   | 
  inferences/sec | 
     
       
      20.30
     
   | 
            1.47
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.99
     
   | 
  sec | 
     
       
      1.23
     
   | 
| Compression | 254.57 | 
     
      47.91
     
   | 
  sec | 
     
       
      5.31
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      6050.00
     
   | 
  ms | 
     
       
      0.70
     
   | 
| Create/Update Files | 4973.68 | 
     
      5242.00
     
   | 
  ms | 
     
       
      0.95
     
   | 
| Rebuild | 10590.28 | 
     
      10457.00
     
   | 
  ms | 
     
       
      1.01
     
   | 
| Render Style/Material | 628.78 | 
     
      1242.00
     
   | 
  ms | 
     
       
      0.51
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      66.53
     
   | 
  sec | 
     
       
      4.23
     
   | 
| BMW27 | 43.82 | 
     
      35.08
     
   | 
  sec | 
     
       
      1.25
     
   | 
| BMW1M | 17.74 | 
     
      13.60
     
   | 
  sec | 
     
       
      1.30
     
   | 
| Island | 29.68 | 
     
      24.52
     
   | 
  sec | 
     
       
      1.21
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      110.62
     
   | 
  sec | 
     
       
      1.19
     
   | 
| Scikit-learn | 449.17 | 
     
      262.68
     
   | 
  sec | 
     
       
      1.71
     
   | 
| XGBoost | 91.50 | 
     
      58.74
     
   | 
  sec | 
     
       
      1.56
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      145.40
     
   | 
  sec | 
     
       
      1.34
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      33.98
     
   | 
  sec | 
     
       
      1.13
     
   | 
| x265 4K to 4K | 107.73 | 
     
      89.41
     
   | 
  sec | 
     
       
      1.20
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      12.30
     
   | 
  sec | 
     
       
      4.06
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      31.91
     
   | 
  fps | 
     
       
      1.31
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1111.62
     
   | 
  tau/day | 
     
       
      1.57
     
   | 
| CHAIN | 1190.35 | 
     
      2060.24
     
   | 
  tau/day | 
     
       
      1.73
     
   | 
| EAM | 0.63 | 
     
      0.93
     
   | 
  ns/day | 
     
       
      1.47
     
   | 
| CHUTE | 38.25 | 
     
      49.19
     
   | 
  tau/day | 
     
       
      1.29
     
   | 
| RHODO | 0.26 | 
     
      0.36
     
   | 
  ns/day | 
     
       
      1.38
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      379.78
     
   | 
  sec | 
     
       
      1.48
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      3.97
     
   | 
  Msamples/sec | 
     
       
      1.61
     
   | 
| Food | 1.84 | 
     
      3.00
     
   | 
  Msamples/sec | 
     
       
      1.63
     
   | 
| Danish Mood | 2.29 | 
     
      2.83
     
   | 
  Msamples/sec | 
     
       
      1.24
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.53
     
   | 
  Msamples/sec | 
     
       
      1.39
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      166.67
     
   | 
  sec | 
     
       
      1.36
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      34.33
     
   | 
  ms/step | 
     
       
      1.32
     
   | 
| f1atpase | 130.50 | 
     
      97.25
     
   | 
  ms/step | 
     
       
      1.34
     
   | 
| stmv | 448.57 | 
     
      310.84
     
   | 
  ms/step | 
     
       
      1.44
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.11
     
   | 
  sec/operation | 
     
       
      1.08
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.10
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      49.77
     
   | 
  ms | 
     
       
      1.28
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      20.52
     
   | 
  inferences/sec | 
     
       
      1.12
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      28.38
     
   | 
  ms | 
     
       
      0.79
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      52.61
     
   | 
  inferences/sec | 
     
       
      1.13
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      50.64
     
   | 
  ms | 
     
       
      1.15
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      25.59
     
   | 
  inferences/sec | 
     
       
      1.23
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      22.62
     
   | 
  ms | 
     
       
      0.94
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      64.38
     
   | 
  inferences/sec | 
     
       
      1.15
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      118.61
     
   | 
  sec | 
     
       
      6.77
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      37758.64
     
   | 
  options/sec | 
     
       
      1.07
     
   | 
| Black-Scholes | 3389.63 | 
     
      3948.93
     
   | 
  Moptions/sec | 
     
       
      1.17
     
   | 
| Binomial | 79377.62 | 
     
      74610.71
     
   | 
  options/sec | 
     
       
      0.94
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      20.93
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      8.07
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.35
     
   | 
  sec | 
     
       
      1.02
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.30
     
   | 
  sec | 
     
       
      1.03
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      7.21
     
   | 
  sec | 
     
       
      1.12
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      12.54
     
   | 
  sec | 
     
       
      1.24
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.61
     
   | 
  sec | 
     
       
      1.02
     
   | 
| Multi-Matrix | 65.50 | 
     
      48.71
     
   | 
  sec | 
     
       
      1.34
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      263.63
     
   | 
  iterations/sec | 
     
       
      1.91
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.93
     
   | 
  fps | 
     
       
      1.34
     
   | 
| HotSpot | 8.55 | 
     
      5.25
     
   | 
  sec | 
     
       
      1.63
     
   | 
| LavaMD | 0.07 | 
     
      0.10
     
   | 
  iterations/sec | 
     
       
      1.40
     
   | 
| SRAD | 47.04 | 
     
      60.13
     
   | 
  iterations/sec | 
     
       
      1.28
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      17.27
     
   | 
  sec | 
     
       
      1.13
     
   | 
            8.96
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      202.01
     
   | 
  fps | 
     
       
      12.70
     
   | 
| catia | 17.57 | 
     
      107.90
     
   | 
  fps | 
     
       
      6.14
     
   | 
| creo | 48.42 | 
     
      207.00
     
   | 
  fps | 
     
       
      4.28
     
   | 
| energy | 11.48 | 
     
      161.33
     
   | 
  fps | 
     
       
      14.10
     
   | 
| maya | 62.09 | 
     
      454.13
     
   | 
  fps | 
     
       
      7.31
     
   | 
| medical | 9.63 | 
     
      141.29
     
   | 
  fps | 
     
       
      14.70
     
   | 
| solidworks | 42.90 | 
     
      394.60
     
   | 
  fps | 
     
       
      9.20
     
   | 
            0.87
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      2921.27
     
   | 
  points | 
     
       
      0.89
     
   | 
| 7zip | 431.06 | 
     
      728.16
     
   | 
  points | 
     
       
      1.69
     
   | 
| ccx | 1398.45 | 
     
      1149.57
     
   | 
  points | 
     
       
      0.82
     
   | 
| cfd | 1921.51 | 
     
      1114.57
     
   | 
  points | 
     
       
      0.58
     
   | 
| energy | 1547.93 | 
     
      1156.68
     
   | 
  points | 
     
       
      0.75
     
   | 
| handbrake | 1897.99 | 
     
      1801.82
     
   | 
  points | 
     
       
      0.95
     
   | 
| icePack | 1543.34 | 
     
      1013.73
     
   | 
  points | 
     
       
      0.66
     
   | 
| maya | 2037.06 | 
     
      1390.06
     
   | 
  points | 
     
       
      0.68
     
   | 
| MayaVenice | 472.63 | 
     
      517.30
     
   | 
  points | 
     
       
      1.09
     
   | 
| MandE | 1625.72 | 
     
      1414.39
     
   | 
  points | 
     
       
      0.87
     
   | 
| mcad | 2612.50 | 
     
      2495.13
     
   | 
  points | 
     
       
      0.95
     
   | 
| mozillaVS | 7708.43 | 
     
      6017.98
     
   | 
  points | 
     
       
      0.78
     
   | 
| namd | 1250.61 | 
     
      1375.84
     
   | 
  points | 
     
       
      1.10
     
   | 
| proddev | 659.82 | 
     
      501.85
     
   | 
  points | 
     
       
      0.76
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 20, 2024, 1:09:23 AM PST | 
                         
                             3.42
                         
                     | 
                ||||
| Decompression | 12.99 sec | 16.04 | 
     
      12.99
     
   | 
  sec | 
     
       
      1.23
     
   | 
|
| Compression | 47.91 sec | 254.57 | 
     
      47.91
     
   | 
  sec | 
     
       
      5.31
     
   | 
|
| Autodesk Inventor | Nov 20, 2024, 1:10:28 AM PST | 
                         
                             0.76
                         
                     | 
                ||||
| Open Document | 6.25 sec | 4253.73 | 
     
      6050.00
     
   | 
  ms | 
     
       
      0.70
     
   | 
|
| Create/Update Files | 7.00 sec | 4973.68 | 
     
      5242.00
     
   | 
  ms | 
     
       
      0.95
     
   | 
|
| Rebuild | 10.64 sec | 10590.28 | 
     
      10457.00
     
   | 
  ms | 
     
       
      1.01
     
   | 
|
| Render Style/Material | 1.43 sec | 628.78 | 
     
      1242.00
     
   | 
  ms | 
     
       
      0.51
     
   | 
|
| Blender | Nov 20, 2024, 1:11:19 AM PST | 
                         
                             1.70
                         
                     | 
                ||||
| Classroom | 66.53 sec | 281.72 | 
     
      66.53
     
   | 
  sec | 
     
       
      4.23
     
   | 
|
| BMW27 | 35.08 sec | 43.82 | 
     
      35.08
     
   | 
  sec | 
     
       
      1.25
     
   | 
|
| BMW1M | 13.60 sec | 17.74 | 
     
      13.60
     
   | 
  sec | 
     
       
      1.30
     
   | 
|
| Island | 24.52 sec | 29.68 | 
     
      24.52
     
   | 
  sec | 
     
       
      1.21
     
   | 
|
| Convolution | Nov 20, 2024, 1:13:42 AM PST | 
                         
                             1.30
                         
                     | 
                ||||
| 20K/100 | 35.67 sec | 0.09 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
|
| Data Science | Nov 20, 2024, 1:14:18 AM PST | 
                         
                             1.47
                         
                     | 
                ||||
| Pandas | 113.59 sec | 131.99 | 
     
      110.62
     
   | 
  sec | 
     
       
      1.19
     
   | 
|
| Scikit-learn | 266.59 sec | 449.17 | 
     
      262.68
     
   | 
  sec | 
     
       
      1.71
     
   | 
|
| XGBoost | 79.27 sec | 91.50 | 
     
      58.74
     
   | 
  sec | 
     
       
      1.56
     
   | 
|
| HandBrake | Nov 20, 2024, 1:22:10 AM PST | 
                         
                             1.67
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 145.40 sec | 195.16 | 
     
      145.40
     
   | 
  sec | 
     
       
      1.34
     
   | 
|
| x265 4K to 1080p | 36.23 sec | 38.36 | 
     
      33.98
     
   | 
  sec | 
     
       
      1.13
     
   | 
|
| x265 4K to 4K | 91.56 sec | 107.73 | 
     
      89.41
     
   | 
  sec | 
     
       
      1.20
     
   | 
|
| x264 1080p to 1080p | 12.30 sec | 49.98 | 
     
      12.30
     
   | 
  sec | 
     
       
      4.06
     
   | 
|
| GPU H.265 4K to 4K | 58.23 sec | 169.65 | 
     
      124.80
     
   | 
  fps | 
     
       
      0.74
     
   | 
|
| GPU H.265 4K to 4K | 53.80 sec | 169.65 | 
     
      165.67
     
   | 
  fps | 
     
       
      0.98
     
   | 
|
| GPU H.265 4K to 1080p | 199.60 sec | 128.84 | 
     
      384.90
     
   | 
  fps | 
     
       
      2.99
     
   | 
|
| GPU H.265 4K to 1080p | 229.34 sec | 128.84 | 
     
      196.77
     
   | 
  fps | 
     
       
      1.53
     
   | 
|
| Hidden Line Removal | Nov 20, 2024, 1:36:05 AM PST | 
                         
                             1.31
                         
                     | 
                ||||
| Palatov | 16.56 sec | 24.29 | 
     
      31.91
     
   | 
  fps | 
     
       
      1.31
     
   | 
|
| Palatov | 16.95 sec | 24.29 | 
     
      30.00
     
   | 
  fps | 
     
       
      1.24
     
   | 
|
| LAMMPS | Nov 20, 2024, 1:36:39 AM PST | 
                         
                             1.48
                         
                     | 
                ||||
| LJ | 13.55 sec | 705.82 | 
     
      1111.62
     
   | 
  tau/day | 
     
       
      1.57
     
   | 
|
| CHAIN | 12.16 sec | 1190.35 | 
     
      2060.24
     
   | 
  tau/day | 
     
       
      1.73
     
   | 
|
| EAM | 15.09 sec | 0.63 | 
     
      0.93
     
   | 
  ns/day | 
     
       
      1.47
     
   | 
|
| CHUTE | 8.52 sec | 38.25 | 
     
      49.19
     
   | 
  tau/day | 
     
       
      1.29
     
   | 
|
| RHODO | 8.45 sec | 0.26 | 
     
      0.36
     
   | 
  ns/day | 
     
       
      1.38
     
   | 
|
| LLVM Clang | Nov 20, 2024, 1:37:37 AM PST | 
                         
                             1.48
                         
                     | 
                ||||
| PyTorch | 395.20 sec | 562.76 | 
     
      379.78
     
   | 
  sec | 
     
       
      1.48
     
   | 
|
| LuxCoreRender | Nov 20, 2024, 1:45:11 AM PST | 
                         
                             1.46
                         
                     | 
                ||||
| DLSC | 13.59 sec | 2.46 | 
     
      3.97
     
   | 
  Msamples/sec | 
     
       
      1.61
     
   | 
|
| Food | 19.53 sec | 1.84 | 
     
      3.00
     
   | 
  Msamples/sec | 
     
       
      1.63
     
   | 
|
| Danish Mood | 53.29 sec | 2.29 | 
     
      2.83
     
   | 
  Msamples/sec | 
     
       
      1.24
     
   | 
|
| Procedural Leaves | 36.00 sec | 1.10 | 
     
      1.53
     
   | 
  Msamples/sec | 
     
       
      1.39
     
   | 
|
| MFEM | Nov 20, 2024, 1:47:14 AM PST | 
                         
                             1.36
                         
                     | 
                ||||
| Dynamic AMR | 166.67 sec | 227.39 | 
     
      166.67
     
   | 
  sec | 
     
       
      1.36
     
   | 
|
| NAMD | Nov 20, 2024, 1:50:01 AM PST | 
                         
                             1.37
                         
                     | 
                ||||
| apoa1 | 16.43 sec | 45.38 | 
     
      34.33
     
   | 
  ms/step | 
     
       
      1.32
     
   | 
|
| f1atpase | 20.55 sec | 130.50 | 
     
      97.25
     
   | 
  ms/step | 
     
       
      1.34
     
   | 
|
| stmv | 53.15 sec | 448.57 | 
     
      310.84
     
   | 
  ms/step | 
     
       
      1.44
     
   | 
|
| Octave | Nov 20, 2024, 1:51:31 AM PST | 
                         
                             1.09
                         
                     | 
                ||||
| obench | 35.85 sec | 1.20 | 
     
      1.11
     
   | 
  sec/operation | 
     
       
      1.08
     
   | 
|
| benchmark2 | 11.02 sec | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.10
     
   | 
|
| ONNX Inference | Nov 20, 2024, 1:52:27 AM PST | 
                         
                             2.62
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.36 sec | 63.72 | 
     
      49.77
     
   | 
  ms | 
     
       
      1.28
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.53 sec | 18.33 | 
     
      20.52
     
   | 
  inferences/sec | 
     
       
      1.12
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.98 sec | 18.33 | 
     
      18.71
     
   | 
  inferences/sec | 
     
       
      1.02
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 | 
     
      28.38
     
   | 
  ms | 
     
       
      0.79
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.67 sec | 46.62 | 
     
      40.14
     
   | 
  inferences/sec | 
     
       
      0.86
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.76 sec | 46.62 | 
     
      52.61
     
   | 
  inferences/sec | 
     
       
      1.13
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.18 sec | 58.42 | 
     
      50.64
     
   | 
  ms | 
     
       
      1.15
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.07 sec | 20.87 | 
     
      25.59
     
   | 
  inferences/sec | 
     
       
      1.23
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.66 sec | 20.87 | 
     
      21.13
     
   | 
  inferences/sec | 
     
       
      1.01
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 | 
     
      22.62
     
   | 
  ms | 
     
       
      0.94
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.45 sec | 55.92 | 
     
      64.38
     
   | 
  inferences/sec | 
     
       
      1.15
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.65 sec | 55.92 | 
     
      59.38
     
   | 
  inferences/sec | 
     
       
      1.06
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 22.55 sec | 3.92 | 
     
      45.66
     
   | 
  inferences/sec | 
     
       
      11.60
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.62 sec | 3.92 | 
     
      45.70
     
   | 
  inferences/sec | 
     
       
      11.70
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.70 sec | 1.92 | 
     
      80.37
     
   | 
  inferences/sec | 
     
       
      41.90
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.70 sec | 1.92 | 
     
      80.24
     
   | 
  inferences/sec | 
     
       
      41.80
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.49 sec | 6.59 | 
     
      35.98
     
   | 
  inferences/sec | 
     
       
      5.46
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.50 sec | 6.59 | 
     
      36.10
     
   | 
  inferences/sec | 
     
       
      5.48
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.47 sec | 1.92 | 
     
      38.93
     
   | 
  inferences/sec | 
     
       
      20.30
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.47 sec | 1.92 | 
     
      38.83
     
   | 
  inferences/sec | 
     
       
      20.20
     
   | 
|
| OpenFOAM | Nov 20, 2024, 1:59:28 AM PST | 
                         
                             6.77
                         
                     | 
                ||||
| XiFoam Solver | 143.31 sec | 803.27 | 
     
      131.44
     
   | 
  sec | 
     
       
      6.11
     
   | 
|
| XiFoam Solver | 127.86 sec | 803.27 | 
     
      118.61
     
   | 
  sec | 
     
       
      6.77
     
   | 
|
| Options Pricing | Nov 20, 2024, 2:04:03 AM PST | 
                         
                             1.06
                         
                     | 
                ||||
| Monte Carlo | 27.85 sec | 35137.48 | 
     
      37758.64
     
   | 
  options/sec | 
     
       
      1.07
     
   | 
|
| Black-Scholes | 18.11 sec | 3389.63 | 
     
      3948.93
     
   | 
  Moptions/sec | 
     
       
      1.17
     
   | 
|
| Binomial | 14.12 sec | 79377.62 | 
     
      74610.71
     
   | 
  options/sec | 
     
       
      0.94
     
   | 
|
| Poisson | Nov 20, 2024, 2:05:03 AM PST | 
                         
                             1.30
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.09 sec | 16.05 | 
     
      20.65
     
   | 
  iterations/sec | 
     
       
      1.29
     
   | 
|
| Jacobi Rectangular Grid | 10.05 sec | 16.05 | 
     
      20.93
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
|
| Jacobi Square Grid | 10.18 sec | 6.19 | 
     
      8.07
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
|
| Jacobi Square Grid | 10.08 sec | 6.19 | 
     
      8.05
     
   | 
  iterations/sec | 
     
       
      1.30
     
   | 
|
| Python 3 | Nov 20, 2024, 2:05:43 AM PST | 
                         
                             1.20
                         
                     | 
                ||||
| NumPy Create Matrix | 1.07 sec | 0.36 | 
     
      0.35
     
   | 
  sec | 
     
       
      1.02
     
   | 
|
| NumPy Add Matrix | 4.96 sec | 4.44 | 
     
      4.30
     
   | 
  sec | 
     
       
      1.03
     
   | 
|
| NumPy Multiply Matrix | 7.84 sec | 8.06 | 
     
      7.21
     
   | 
  sec | 
     
       
      1.12
     
   | 
|
| NumPy Invert Matrix | 13.19 sec | 15.53 | 
     
      12.54
     
   | 
  sec | 
     
       
      1.24
     
   | 
|
| NumPy Sin Matrix | 3.25 sec | 2.67 | 
     
      2.61
     
   | 
  sec | 
     
       
      1.02
     
   | 
|
| Multi-Matrix | 49.25 sec | 65.50 | 
     
      48.71
     
   | 
  sec | 
     
       
      1.34
     
   | 
|
| Rodinia CFD | Nov 20, 2024, 2:07:10 AM PST | 
                         
                             1.91
                         
                     | 
                ||||
| Pre-Euler | 33.02 sec | 138.14 | 
     
      263.63
     
   | 
  iterations/sec | 
     
       
      1.91
     
   | 
|
| Rodinia Life Sciences | Nov 20, 2024, 2:07:43 AM PST | 
                         
                             1.41
                         
                     | 
                ||||
| Heart Wall | 10.93 sec | 0.69 | 
     
      0.93
     
   | 
  fps | 
     
       
      1.34
     
   | 
|
| HotSpot | 6.37 sec | 8.55 | 
     
      5.25
     
   | 
  sec | 
     
       
      1.63
     
   | 
|
| LavaMD | 10.55 sec | 0.07 | 
     
      0.10
     
   | 
  iterations/sec | 
     
       
      1.40
     
   | 
|
| SRAD | 10.27 sec | 47.04 | 
     
      60.13
     
   | 
  iterations/sec | 
     
       
      1.28
     
   | 
|
| SRMP | Nov 20, 2024, 2:08:22 AM PST | 
                         
                             1.13
                         
                     | 
                ||||
| 2D | 17.66 sec | 19.45 | 
     
      17.27
     
   | 
  sec | 
     
       
      1.13
     
   | 
|
| Viewport Graphics | Nov 20, 2024, 2:08:40 AM PST | 
                         
                             8.96
                         
                     | 
                ||||
| 3dsmax | 126.74 sec | 15.96 | 
     
      202.01
     
   | 
  fps | 
     
       
      12.70
     
   | 
|
| catia | 118.38 sec | 17.57 | 
     
      107.90
     
   | 
  fps | 
     
       
      6.14
     
   | 
|
| creo | 127.39 sec | 48.42 | 
     
      207.00
     
   | 
  fps | 
     
       
      4.28
     
   | 
|
| energy | 84.28 sec | 11.48 | 
     
      161.33
     
   | 
  fps | 
     
       
      14.10
     
   | 
|
| maya | 98.58 sec | 62.09 | 
     
      454.13
     
   | 
  fps | 
     
       
      7.31
     
   | 
|
| medical | 76.79 sec | 9.63 | 
     
      141.29
     
   | 
  fps | 
     
       
      14.70
     
   | 
|
| solidworks | 73.99 sec | 42.90 | 
     
      394.60
     
   | 
  fps | 
     
       
      9.20
     
   | 
|
| WPCstorage | Nov 20, 2024, 2:21:56 AM PST | 
                         
                             0.87
                         
                     | 
                ||||
| 3dsmax | 77.50 sec | 3299.42 | 
     
      2921.27
     
   | 
  points | 
     
       
      0.89
     
   | 
|
| 7zip | 85.75 sec | 431.06 | 
     
      728.16
     
   | 
  points | 
     
       
      1.69
     
   | 
|
| ccx | 12.61 sec | 1398.45 | 
     
      1149.57
     
   | 
  points | 
     
       
      0.82
     
   | 
|
| cfd | 13.51 sec | 1921.51 | 
     
      1114.57
     
   | 
  points | 
     
       
      0.58
     
   | 
|
| energy | 23.23 sec | 1547.93 | 
     
      1156.68
     
   | 
  points | 
     
       
      0.75
     
   | 
|
| handbrake | 16.63 sec | 1897.99 | 
     
      1801.82
     
   | 
  points | 
     
       
      0.95
     
   | 
|
| icePack | 74.57 sec | 1543.34 | 
     
      1013.73
     
   | 
  points | 
     
       
      0.66
     
   | 
|
| maya | 72.32 sec | 2037.06 | 
     
      1390.06
     
   | 
  points | 
     
       
      0.68
     
   | 
|
| MayaVenice | 31.57 sec | 472.63 | 
     
      517.30
     
   | 
  points | 
     
       
      1.09
     
   | 
|
| MandE | 24.51 sec | 1625.72 | 
     
      1414.39
     
   | 
  points | 
     
       
      0.87
     
   | 
|
| mcad | 72.07 sec | 2612.50 | 
     
      2495.13
     
   | 
  points | 
     
       
      0.95
     
   | 
|
| mozillaVS | 31.57 sec | 7708.43 | 
     
      6017.98
     
   | 
  points | 
     
       
      0.78
     
   | 
|
| namd | 17.48 sec | 1250.61 | 
     
      1375.84
     
   | 
  points | 
     
       
      1.10
     
   | 
|
| proddev | 20.65 sec | 659.82 | 
     
      501.85
     
   | 
  points | 
     
       
      0.76
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name:       Model: Precision 7780
Version:
Manufacturer: Dell Inc.
Serial Number: /5R4KTT3/ /
BIOS: Dell Inc. 1.14.0
BIOS Version: DELL - 2 (2024-07-04)
      
      PROCESSOR
    
    CPU #1: 13th Gen Intel(R) Core(TM) i9-13950HX (2200MHz / 24C / 32T)
      
      MEMORY
    
    (DIMM A): 80AD000080AD HMCG78AGBSA092N      (16.00 GB / 5600 MHz / DDR5)(DIMM B): 80AD000080AD HMCG78AGBSA092N (16.00 GB / 5600 MHz / DDR5)
Total Memory: 32.00 GB
      
      STORAGE
    
    Disk #1: Intel Raid 10 Volume (953.87 GB - SCSI)Partition 1: GPT: System (0.23 GB)
Partition 2: GPT: Basic Data (951.00 GB)
Partition 3: GPT: Unknown (1.04 GB)
Partition 4: GPT: Unknown (1.47 GB)
Available Volumes
C: (OS): NTFS (587.57 GB of 951.00 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: 00:A5:54:A6:56:03 | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (22) I219-LM
Type: Ethernet 802.3 | MAC: 88:88:88:88:87:88 | Speed: Not Connected
Adapter #3: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 00:A5:54:A6:56:07 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 5000 Ada Generation Laptop GPUVideo Memory: 15.99 GB
Current Resolution: Unknown
Driver Version: 31.0.15.5286 (2024-07-22)
Adapter #2: Intel(R) UHD Graphics
Video Memory: 0.13 GB
Current Resolution: 3840x2160 @ 119 Hz (32-bit Color)
Driver Version: 31.0.101.5522 (2024-05-11)
        
        DISPLAY
      
      Display #1: AUO Internal Display 17.1" (3840x2160)Model: 97A2 | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
                
                BATTERY
              
            Battery #1 (Sys. Battery Bay): P/N: DELL 965V427 | Mfg: BYD:SIGN CORPORATION | Charge Level: 100%
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4317 (Release 2009)
Installation Date: 2024-04-30
Free Memory: 23.22 GB (Physical) | 24.42 GB (Virtual) | 2.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)