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 5860 Tower | 
| CPU | Intel(R) Xeon(R) w7-2495X | 
| Memory | 256.00 GB @ 4400 MHz | 
| GPU | NVIDIA RTX 5000 Ada Generation | 
| Display | DELL U3219Q 31.5" (3840x2160) | 
          
| Storage | NVMe KXG80ZNV2T04 NVM 1907.73 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro for Workstations (22631) | 
Submission Details
| Result Date | Tue Nov 19 2024 22:45:13 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          2.77 | 
Energy  | 
          2.88 | 
Financial Services  | 
          2.10 | 
Life Sciences  | 
          2.95 | 
Media & Entertainment  | 
          2.70 | 
Product Design  | 
          2.41 | 
Productivity & Development  | 
          1.48 | 
Hardware Subsystem Scores
| CPU | 2.06 | 
| Accelerator | 5.66 | 
| Graphics | 11.03 | 
| Storage | 1.11 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.23 | 
| Autodesk Inventor | 0.88 | 
| Blender | 2.43 | 
| Convolution | 2.39 | 
| Data Science | 1.53 | 
| HandBrake | 1.91 | 
| Hidden Line Removal | 1.27 | 
| LAMMPS | 2.45 | 
| LLVM Clang | 2.08 | 
| LuxCoreRender | 2.28 | 
| MFEM | 1.96 | 
| NAMD | 2.01 | 
| Octave | 0.92 | 
| ONNX Inference | 5.02 | 
| OpenFOAM | 10.70 | 
| Options Pricing | 2.10 | 
| Poisson | 2.22 | 
| Python 3 | 1.26 | 
| Rodinia CFD | 2.83 | 
| Rodinia Life Sciences | 2.29 | 
| SRMP | 2.09 | 
| Viewport Graphics | 11.00 | 
| WPCstorage | 1.11 | 
Industry Vertical Scores
| AI & Machine Learning | 2.77 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      122.50
     
   | 
  sec | 
     
       
      1.08
     
   | 
| Scikit-learn | 449.17 | 
     
      217.24
     
   | 
  sec | 
     
       
      2.07
     
   | 
| XGBoost | 91.50 | 
     
      57.00
     
   | 
  sec | 
     
       
      1.61
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      21.64
     
   | 
  ms | 
     
       
      2.95
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      52.81
     
   | 
  inferences/sec | 
     
       
      2.88
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      9.16
     
   | 
  ms | 
     
       
      2.44
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      157.61
     
   | 
  inferences/sec | 
     
       
      3.38
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      22.06
     
   | 
  ms | 
     
       
      2.65
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      57.37
     
   | 
  inferences/sec | 
     
       
      2.75
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      12.61
     
   | 
  ms | 
     
       
      1.69
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      130.27
     
   | 
  inferences/sec | 
     
       
      2.33
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      64.96
     
   | 
  inferences/sec | 
     
       
      16.60
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      126.15
     
   | 
  inferences/sec | 
     
       
      65.70
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      36.39
     
   | 
  inferences/sec | 
     
       
      5.52
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      40.24
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
Industry Vertical Scores
| Energy | 2.88 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.21
     
   | 
  iterations/sec | 
     
       
      2.39
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      38.52
     
   | 
  iterations/sec | 
     
       
      2.40
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      12.68
     
   | 
  iterations/sec | 
     
       
      2.05
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      9.30
     
   | 
  sec | 
     
       
      2.09
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      259.35
     
   | 
  fps | 
     
       
      22.60
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1221.80
     
   | 
  points | 
     
       
      0.79
     
   | 
Industry Vertical Scores
| Financial Services | 2.10 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      79398.22
     
   | 
  options/sec | 
     
       
      2.26
     
   | 
| Black-Scholes | 3389.63 | 
     
      8283.29
     
   | 
  Moptions/sec | 
     
       
      2.44
     
   | 
| Binomial | 79377.62 | 
     
      133260.72
     
   | 
  options/sec | 
     
       
      1.68
     
   | 
Industry Vertical Scores
| Life Sciences | 2.95 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1768.90
     
   | 
  tau/day | 
     
       
      2.51
     
   | 
| CHAIN | 1190.35 | 
     
      3389.44
     
   | 
  tau/day | 
     
       
      2.85
     
   | 
| EAM | 0.63 | 
     
      1.54
     
   | 
  ns/day | 
     
       
      2.44
     
   | 
| CHUTE | 38.25 | 
     
      79.09
     
   | 
  tau/day | 
     
       
      2.07
     
   | 
| RHODO | 0.26 | 
     
      0.63
     
   | 
  ns/day | 
     
       
      2.43
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      22.35
     
   | 
  ms/step | 
     
       
      2.03
     
   | 
| f1atpase | 130.50 | 
     
      68.83
     
   | 
  ms/step | 
     
       
      1.90
     
   | 
| stmv | 448.57 | 
     
      214.16
     
   | 
  ms/step | 
     
       
      2.09
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.79
     
   | 
  fps | 
     
       
      2.59
     
   | 
| HotSpot | 8.55 | 
     
      3.46
     
   | 
  sec | 
     
       
      2.47
     
   | 
| LavaMD | 0.07 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| SRAD | 47.04 | 
     
      97.73
     
   | 
  iterations/sec | 
     
       
      2.08
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      198.64
     
   | 
  fps | 
     
       
      20.60
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1213.89
     
   | 
  points | 
     
       
      0.97
     
   | 
Industry Vertical Scores
| Media & Entertainment | 2.70 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      41.05
     
   | 
  sec | 
     
       
      6.86
     
   | 
| BMW27 | 43.82 | 
     
      20.59
     
   | 
  sec | 
     
       
      2.13
     
   | 
| BMW1M | 17.74 | 
     
      8.68
     
   | 
  sec | 
     
       
      2.04
     
   | 
| Island | 29.68 | 
     
      25.36
     
   | 
  sec | 
     
       
      1.17
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      141.47
     
   | 
  sec | 
     
       
      1.38
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.00
     
   | 
  sec | 
     
       
      1.37
     
   | 
| x265 4K to 4K | 107.73 | 
     
      55.12
     
   | 
  sec | 
     
       
      1.95
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      10.79
     
   | 
  sec | 
     
       
      4.63
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      134.48
     
   | 
  fps | 
     
       
      0.79
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      468.41
     
   | 
  fps | 
     
       
      3.64
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.90
     
   | 
  Msamples/sec | 
     
       
      2.40
     
   | 
| Food | 1.84 | 
     
      4.52
     
   | 
  Msamples/sec | 
     
       
      2.46
     
   | 
| Danish Mood | 2.29 | 
     
      4.69
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.45
     
   | 
  Msamples/sec | 
     
       
      2.23
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      243.20
     
   | 
  fps | 
     
       
      15.20
     
   | 
| maya | 62.09 | 
     
      516.87
     
   | 
  fps | 
     
       
      8.32
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3174.07
     
   | 
  points | 
     
       
      0.96
     
   | 
| handbrake | 1897.99 | 
     
      2467.44
     
   | 
  points | 
     
       
      1.30
     
   | 
| maya | 2037.06 | 
     
      3186.03
     
   | 
  points | 
     
       
      1.56
     
   | 
| MayaVenice | 472.63 | 
     
      634.81
     
   | 
  points | 
     
       
      1.34
     
   | 
| MandE | 1625.72 | 
     
      1575.17
     
   | 
  points | 
     
       
      0.97
     
   | 
Industry Vertical Scores
| Product Design | 2.41 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4863.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Create/Update Files | 4973.68 | 
     
      5680.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Rebuild | 10590.28 | 
     
      11288.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Render Style/Material | 628.78 | 
     
      739.00
     
   | 
  ms | 
     
       
      0.85
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      30.82
     
   | 
  fps | 
     
       
      1.27
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      116.20
     
   | 
  sec | 
     
       
      1.96
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      75.33
     
   | 
  sec | 
     
       
      10.70
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      390.63
     
   | 
  iterations/sec | 
     
       
      2.83
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      125.77
     
   | 
  fps | 
     
       
      7.16
     
   | 
| creo | 48.42 | 
     
      167.94
     
   | 
  fps | 
     
       
      3.47
     
   | 
| solidworks | 42.90 | 
     
      584.57
     
   | 
  fps | 
     
       
      13.60
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1837.34
     
   | 
  points | 
     
       
      1.31
     
   | 
| cfd | 1921.51 | 
     
      1772.28
     
   | 
  points | 
     
       
      0.92
     
   | 
| icePack | 1543.34 | 
     
      1262.61
     
   | 
  points | 
     
       
      0.82
     
   | 
| mcad | 2612.50 | 
     
      3772.91
     
   | 
  points | 
     
       
      1.44
     
   | 
| proddev | 659.82 | 
     
      503.41
     
   | 
  points | 
     
       
      0.76
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.48 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      16.91
     
   | 
  sec | 
     
       
      0.95
     
   | 
| Compression | 254.57 | 
     
      46.62
     
   | 
  sec | 
     
       
      5.46
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      270.60
     
   | 
  sec | 
     
       
      2.08
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.25
     
   | 
  sec/operation | 
     
       
      0.96
     
   | 
| benchmark2 | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.89
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.37
     
   | 
  sec | 
     
       
      0.97
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.05
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      5.68
     
   | 
  sec | 
     
       
      1.42
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.47
     
   | 
  sec | 
     
       
      1.48
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
| Multi-Matrix | 65.50 | 
     
      45.68
     
   | 
  sec | 
     
       
      1.43
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      511.59
     
   | 
  points | 
     
       
      1.19
     
   | 
| mozillaVS | 7708.43 | 
     
      13092.30
     
   | 
  points | 
     
       
      1.70
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            5.66
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      134.48
     
   | 
  fps | 
     
       
      0.79
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      468.41
     
   | 
  fps | 
     
       
      3.64
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      64.96
     
   | 
  inferences/sec | 
     
       
      16.60
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      126.15
     
   | 
  inferences/sec | 
     
       
      65.70
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      36.39
     
   | 
  inferences/sec | 
     
       
      5.52
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      40.24
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
            2.06
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      16.91
     
   | 
  sec | 
     
       
      0.95
     
   | 
| Compression | 254.57 | 
     
      46.62
     
   | 
  sec | 
     
       
      5.46
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4863.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Create/Update Files | 4973.68 | 
     
      5680.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Rebuild | 10590.28 | 
     
      11288.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Render Style/Material | 628.78 | 
     
      739.00
     
   | 
  ms | 
     
       
      0.85
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      41.05
     
   | 
  sec | 
     
       
      6.86
     
   | 
| BMW27 | 43.82 | 
     
      20.59
     
   | 
  sec | 
     
       
      2.13
     
   | 
| BMW1M | 17.74 | 
     
      8.68
     
   | 
  sec | 
     
       
      2.04
     
   | 
| Island | 29.68 | 
     
      25.36
     
   | 
  sec | 
     
       
      1.17
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.21
     
   | 
  iterations/sec | 
     
       
      2.39
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      122.50
     
   | 
  sec | 
     
       
      1.08
     
   | 
| Scikit-learn | 449.17 | 
     
      217.24
     
   | 
  sec | 
     
       
      2.07
     
   | 
| XGBoost | 91.50 | 
     
      57.00
     
   | 
  sec | 
     
       
      1.61
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      141.47
     
   | 
  sec | 
     
       
      1.38
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.00
     
   | 
  sec | 
     
       
      1.37
     
   | 
| x265 4K to 4K | 107.73 | 
     
      55.12
     
   | 
  sec | 
     
       
      1.95
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      10.79
     
   | 
  sec | 
     
       
      4.63
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      30.82
     
   | 
  fps | 
     
       
      1.27
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1768.90
     
   | 
  tau/day | 
     
       
      2.51
     
   | 
| CHAIN | 1190.35 | 
     
      3389.44
     
   | 
  tau/day | 
     
       
      2.85
     
   | 
| EAM | 0.63 | 
     
      1.54
     
   | 
  ns/day | 
     
       
      2.44
     
   | 
| CHUTE | 38.25 | 
     
      79.09
     
   | 
  tau/day | 
     
       
      2.07
     
   | 
| RHODO | 0.26 | 
     
      0.63
     
   | 
  ns/day | 
     
       
      2.43
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      270.60
     
   | 
  sec | 
     
       
      2.08
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.90
     
   | 
  Msamples/sec | 
     
       
      2.40
     
   | 
| Food | 1.84 | 
     
      4.52
     
   | 
  Msamples/sec | 
     
       
      2.46
     
   | 
| Danish Mood | 2.29 | 
     
      4.69
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.45
     
   | 
  Msamples/sec | 
     
       
      2.23
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      116.20
     
   | 
  sec | 
     
       
      1.96
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      22.35
     
   | 
  ms/step | 
     
       
      2.03
     
   | 
| f1atpase | 130.50 | 
     
      68.83
     
   | 
  ms/step | 
     
       
      1.90
     
   | 
| stmv | 448.57 | 
     
      214.16
     
   | 
  ms/step | 
     
       
      2.09
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.25
     
   | 
  sec/operation | 
     
       
      0.96
     
   | 
| benchmark2 | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.89
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      21.64
     
   | 
  ms | 
     
       
      2.95
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      52.81
     
   | 
  inferences/sec | 
     
       
      2.88
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      9.16
     
   | 
  ms | 
     
       
      2.44
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      157.61
     
   | 
  inferences/sec | 
     
       
      3.38
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      22.06
     
   | 
  ms | 
     
       
      2.65
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      57.37
     
   | 
  inferences/sec | 
     
       
      2.75
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      12.61
     
   | 
  ms | 
     
       
      1.69
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      130.27
     
   | 
  inferences/sec | 
     
       
      2.33
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      75.33
     
   | 
  sec | 
     
       
      10.70
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      79398.22
     
   | 
  options/sec | 
     
       
      2.26
     
   | 
| Black-Scholes | 3389.63 | 
     
      8283.29
     
   | 
  Moptions/sec | 
     
       
      2.44
     
   | 
| Binomial | 79377.62 | 
     
      133260.72
     
   | 
  options/sec | 
     
       
      1.68
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      38.52
     
   | 
  iterations/sec | 
     
       
      2.40
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      12.68
     
   | 
  iterations/sec | 
     
       
      2.05
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.37
     
   | 
  sec | 
     
       
      0.97
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.05
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      5.68
     
   | 
  sec | 
     
       
      1.42
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.47
     
   | 
  sec | 
     
       
      1.48
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
| Multi-Matrix | 65.50 | 
     
      45.68
     
   | 
  sec | 
     
       
      1.43
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      390.63
     
   | 
  iterations/sec | 
     
       
      2.83
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.79
     
   | 
  fps | 
     
       
      2.59
     
   | 
| HotSpot | 8.55 | 
     
      3.46
     
   | 
  sec | 
     
       
      2.47
     
   | 
| LavaMD | 0.07 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| SRAD | 47.04 | 
     
      97.73
     
   | 
  iterations/sec | 
     
       
      2.08
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      9.30
     
   | 
  sec | 
     
       
      2.09
     
   | 
            11.03
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      243.20
     
   | 
  fps | 
     
       
      15.20
     
   | 
| catia | 17.57 | 
     
      125.77
     
   | 
  fps | 
     
       
      7.16
     
   | 
| creo | 48.42 | 
     
      167.94
     
   | 
  fps | 
     
       
      3.47
     
   | 
| energy | 11.48 | 
     
      259.35
     
   | 
  fps | 
     
       
      22.60
     
   | 
| maya | 62.09 | 
     
      516.87
     
   | 
  fps | 
     
       
      8.32
     
   | 
| medical | 9.63 | 
     
      198.64
     
   | 
  fps | 
     
       
      20.60
     
   | 
| solidworks | 42.90 | 
     
      584.57
     
   | 
  fps | 
     
       
      13.60
     
   | 
            1.11
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3174.07
     
   | 
  points | 
     
       
      0.96
     
   | 
| 7zip | 431.06 | 
     
      511.59
     
   | 
  points | 
     
       
      1.19
     
   | 
| ccx | 1398.45 | 
     
      1837.34
     
   | 
  points | 
     
       
      1.31
     
   | 
| cfd | 1921.51 | 
     
      1772.28
     
   | 
  points | 
     
       
      0.92
     
   | 
| energy | 1547.93 | 
     
      1221.80
     
   | 
  points | 
     
       
      0.79
     
   | 
| handbrake | 1897.99 | 
     
      2467.44
     
   | 
  points | 
     
       
      1.30
     
   | 
| icePack | 1543.34 | 
     
      1262.61
     
   | 
  points | 
     
       
      0.82
     
   | 
| maya | 2037.06 | 
     
      3186.03
     
   | 
  points | 
     
       
      1.56
     
   | 
| MayaVenice | 472.63 | 
     
      634.81
     
   | 
  points | 
     
       
      1.34
     
   | 
| MandE | 1625.72 | 
     
      1575.17
     
   | 
  points | 
     
       
      0.97
     
   | 
| mcad | 2612.50 | 
     
      3772.91
     
   | 
  points | 
     
       
      1.44
     
   | 
| mozillaVS | 7708.43 | 
     
      13092.30
     
   | 
  points | 
     
       
      1.70
     
   | 
| namd | 1250.61 | 
     
      1213.89
     
   | 
  points | 
     
       
      0.97
     
   | 
| proddev | 659.82 | 
     
      503.41
     
   | 
  points | 
     
       
      0.76
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2024, 10:45:13 PM PST | 
                         
                             3.23
                         
                     | 
                ||||
| Decompression | 16.91 sec | 16.04 | 
     
      16.91
     
   | 
  sec | 
     
       
      0.95
     
   | 
|
| Compression | 46.62 sec | 254.57 | 
     
      46.62
     
   | 
  sec | 
     
       
      5.46
     
   | 
|
| Autodesk Inventor | Nov 19, 2024, 10:46:21 PM PST | 
                         
                             0.88
                         
                     | 
                ||||
| Open Document | 5.12 sec | 4253.73 | 
     
      4863.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
|
| Create/Update Files | 7.58 sec | 4973.68 | 
     
      5680.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
|
| Rebuild | 11.55 sec | 10590.28 | 
     
      11288.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
|
| Render Style/Material | 0.99 sec | 628.78 | 
     
      739.00
     
   | 
  ms | 
     
       
      0.85
     
   | 
|
| Blender | Nov 19, 2024, 10:47:13 PM PST | 
                         
                             2.43
                         
                     | 
                ||||
| Classroom | 41.05 sec | 281.72 | 
     
      41.05
     
   | 
  sec | 
     
       
      6.86
     
   | 
|
| BMW27 | 20.59 sec | 43.82 | 
     
      20.59
     
   | 
  sec | 
     
       
      2.13
     
   | 
|
| BMW1M | 8.68 sec | 17.74 | 
     
      8.68
     
   | 
  sec | 
     
       
      2.04
     
   | 
|
| Island | 25.36 sec | 29.68 | 
     
      25.36
     
   | 
  sec | 
     
       
      1.17
     
   | 
|
| Convolution | Nov 19, 2024, 10:48:54 PM PST | 
                         
                             2.39
                         
                     | 
                ||||
| 20K/100 | 34.16 sec | 0.09 | 
     
      0.21
     
   | 
  iterations/sec | 
     
       
      2.39
     
   | 
|
| Data Science | Nov 19, 2024, 10:49:28 PM PST | 
                         
                             1.53
                         
                     | 
                ||||
| Pandas | 126.29 sec | 131.99 | 
     
      122.50
     
   | 
  sec | 
     
       
      1.08
     
   | 
|
| Scikit-learn | 221.98 sec | 449.17 | 
     
      217.24
     
   | 
  sec | 
     
       
      2.07
     
   | 
|
| XGBoost | 80.05 sec | 91.50 | 
     
      57.00
     
   | 
  sec | 
     
       
      1.61
     
   | 
|
| HandBrake | Nov 19, 2024, 10:56:53 PM PST | 
                         
                             1.91
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 141.47 sec | 195.16 | 
     
      141.47
     
   | 
  sec | 
     
       
      1.38
     
   | 
|
| x265 4K to 1080p | 29.71 sec | 38.36 | 
     
      28.00
     
   | 
  sec | 
     
       
      1.37
     
   | 
|
| x265 4K to 4K | 56.78 sec | 107.73 | 
     
      55.12
     
   | 
  sec | 
     
       
      1.95
     
   | 
|
| x264 1080p to 1080p | 10.79 sec | 49.98 | 
     
      10.79
     
   | 
  sec | 
     
       
      4.63
     
   | 
|
| GPU H.265 4K to 4K | 60.34 sec | 169.65 | 
     
      134.48
     
   | 
  fps | 
     
       
      0.79
     
   | 
|
| GPU H.265 4K to 1080p | 210.81 sec | 128.84 | 
     
      468.41
     
   | 
  fps | 
     
       
      3.64
     
   | 
|
| Hidden Line Removal | Nov 19, 2024, 11:05:30 PM PST | 
                         
                             1.27
                         
                     | 
                ||||
| Palatov | 17.91 sec | 24.29 | 
     
      30.82
     
   | 
  fps | 
     
       
      1.27
     
   | 
|
| Palatov | 18.54 sec | 24.29 | 
     
      25.27
     
   | 
  fps | 
     
       
      1.04
     
   | 
|
| LAMMPS | Nov 19, 2024, 11:06:07 PM PST | 
                         
                             2.45
                         
                     | 
                ||||
| LJ | 9.11 sec | 705.82 | 
     
      1768.90
     
   | 
  tau/day | 
     
       
      2.51
     
   | 
|
| CHAIN | 8.35 sec | 1190.35 | 
     
      3389.44
     
   | 
  tau/day | 
     
       
      2.85
     
   | 
|
| EAM | 9.59 sec | 0.63 | 
     
      1.54
     
   | 
  ns/day | 
     
       
      2.44
     
   | 
|
| CHUTE | 5.90 sec | 38.25 | 
     
      79.09
     
   | 
  tau/day | 
     
       
      2.07
     
   | 
|
| RHODO | 5.06 sec | 0.26 | 
     
      0.63
     
   | 
  ns/day | 
     
       
      2.43
     
   | 
|
| LLVM Clang | Nov 19, 2024, 11:06:46 PM PST | 
                         
                             2.08
                         
                     | 
                ||||
| PyTorch | 293.81 sec | 562.76 | 
     
      270.60
     
   | 
  sec | 
     
       
      2.08
     
   | 
|
| LuxCoreRender | Nov 19, 2024, 11:12:45 PM PST | 
                         
                             2.28
                         
                     | 
                ||||
| DLSC | 9.64 sec | 2.46 | 
     
      5.90
     
   | 
  Msamples/sec | 
     
       
      2.40
     
   | 
|
| Food | 14.83 sec | 1.84 | 
     
      4.52
     
   | 
  Msamples/sec | 
     
       
      2.46
     
   | 
|
| Danish Mood | 32.51 sec | 2.29 | 
     
      4.69
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
|
| Procedural Leaves | 23.00 sec | 1.10 | 
     
      2.45
     
   | 
  Msamples/sec | 
     
       
      2.23
     
   | 
|
| MFEM | Nov 19, 2024, 11:14:05 PM PST | 
                         
                             1.96
                         
                     | 
                ||||
| Dynamic AMR | 116.20 sec | 227.39 | 
     
      116.20
     
   | 
  sec | 
     
       
      1.96
     
   | 
|
| NAMD | Nov 19, 2024, 11:16:02 PM PST | 
                         
                             2.01
                         
                     | 
                ||||
| apoa1 | 12.19 sec | 45.38 | 
     
      22.35
     
   | 
  ms/step | 
     
       
      2.03
     
   | 
|
| f1atpase | 20.14 sec | 130.50 | 
     
      68.83
     
   | 
  ms/step | 
     
       
      1.90
     
   | 
|
| stmv | 40.56 sec | 448.57 | 
     
      214.16
     
   | 
  ms/step | 
     
       
      2.09
     
   | 
|
| Octave | Nov 19, 2024, 11:17:15 PM PST | 
                         
                             0.92
                         
                     | 
                ||||
| obench | 40.99 sec | 1.20 | 
     
      1.25
     
   | 
  sec/operation | 
     
       
      0.96
     
   | 
|
| benchmark2 | 11.66 sec | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.89
     
   | 
|
| ONNX Inference | Nov 19, 2024, 11:18:19 PM PST | 
                         
                             5.02
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.42 sec | 63.72 | 
     
      21.64
     
   | 
  ms | 
     
       
      2.95
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.15 sec | 18.33 | 
     
      52.81
     
   | 
  inferences/sec | 
     
       
      2.88
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.50 sec | 18.33 | 
     
      52.14
     
   | 
  inferences/sec | 
     
       
      2.84
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.17 sec | 22.37 | 
     
      9.16
     
   | 
  ms | 
     
       
      2.44
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.46 sec | 46.62 | 
     
      157.61
     
   | 
  inferences/sec | 
     
       
      3.38
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.58 sec | 46.62 | 
     
      141.26
     
   | 
  inferences/sec | 
     
       
      3.03
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.13 sec | 58.42 | 
     
      22.06
     
   | 
  ms | 
     
       
      2.65
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.89 sec | 20.87 | 
     
      57.37
     
   | 
  inferences/sec | 
     
       
      2.75
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.23 sec | 20.87 | 
     
      53.20
     
   | 
  inferences/sec | 
     
       
      2.55
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 | 
     
      12.61
     
   | 
  ms | 
     
       
      1.69
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.50 sec | 55.92 | 
     
      130.27
     
   | 
  inferences/sec | 
     
       
      2.33
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.63 sec | 55.92 | 
     
      107.23
     
   | 
  inferences/sec | 
     
       
      1.92
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.67 sec | 3.92 | 
     
      64.96
     
   | 
  inferences/sec | 
     
       
      16.60
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.69 sec | 1.92 | 
     
      126.15
     
   | 
  inferences/sec | 
     
       
      65.70
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.75 sec | 6.59 | 
     
      36.39
     
   | 
  inferences/sec | 
     
       
      5.52
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.85 sec | 1.92 | 
     
      40.24
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
|
| OpenFOAM | Nov 19, 2024, 11:23:53 PM PST | 
                         
                             10.70
                         
                     | 
                ||||
| XiFoam Solver | 117.87 sec | 803.27 | 
     
      105.26
     
   | 
  sec | 
     
       
      7.63
     
   | 
|
| XiFoam Solver | 86.37 sec | 803.27 | 
     
      75.33
     
   | 
  sec | 
     
       
      10.70
     
   | 
|
| Options Pricing | Nov 19, 2024, 11:27:22 PM PST | 
                         
                             2.10
                         
                     | 
                ||||
| Monte Carlo | 13.30 sec | 35137.48 | 
     
      79398.22
     
   | 
  options/sec | 
     
       
      2.26
     
   | 
|
| Black-Scholes | 9.62 sec | 3389.63 | 
     
      8283.29
     
   | 
  Moptions/sec | 
     
       
      2.44
     
   | 
|
| Binomial | 7.95 sec | 79377.62 | 
     
      133260.72
     
   | 
  options/sec | 
     
       
      1.68
     
   | 
|
| Poisson | Nov 19, 2024, 11:27:53 PM PST | 
                         
                             2.22
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.13 sec | 16.05 | 
     
      38.52
     
   | 
  iterations/sec | 
     
       
      2.40
     
   | 
|
| Jacobi Rectangular Grid | 10.05 sec | 16.05 | 
     
      38.49
     
   | 
  iterations/sec | 
     
       
      2.40
     
   | 
|
| Jacobi Square Grid | 10.20 sec | 6.19 | 
     
      12.68
     
   | 
  iterations/sec | 
     
       
      2.05
     
   | 
|
| Jacobi Square Grid | 10.09 sec | 6.19 | 
     
      12.71
     
   | 
  iterations/sec | 
     
       
      2.05
     
   | 
|
| Python 3 | Nov 19, 2024, 11:28:33 PM PST | 
                         
                             1.26
                         
                     | 
                ||||
| NumPy Create Matrix | 1.36 sec | 0.36 | 
     
      0.37
     
   | 
  sec | 
     
       
      0.97
     
   | 
|
| NumPy Add Matrix | 5.95 sec | 4.44 | 
     
      5.05
     
   | 
  sec | 
     
       
      0.88
     
   | 
|
| NumPy Multiply Matrix | 6.59 sec | 8.06 | 
     
      5.68
     
   | 
  sec | 
     
       
      1.42
     
   | 
|
| NumPy Invert Matrix | 11.38 sec | 15.53 | 
     
      10.47
     
   | 
  sec | 
     
       
      1.48
     
   | 
|
| NumPy Sin Matrix | 3.73 sec | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
|
| Multi-Matrix | 47.18 sec | 65.50 | 
     
      45.68
     
   | 
  sec | 
     
       
      1.43
     
   | 
|
| Rodinia CFD | Nov 19, 2024, 11:29:59 PM PST | 
                         
                             2.83
                         
                     | 
                ||||
| Pre-Euler | 33.35 sec | 138.14 | 
     
      390.63
     
   | 
  iterations/sec | 
     
       
      2.83
     
   | 
|
| Rodinia Life Sciences | Nov 19, 2024, 11:30:33 PM PST | 
                         
                             2.29
                         
                     | 
                ||||
| Heart Wall | 10.27 sec | 0.69 | 
     
      1.79
     
   | 
  fps | 
     
       
      2.59
     
   | 
|
| HotSpot | 4.65 sec | 8.55 | 
     
      3.46
     
   | 
  sec | 
     
       
      2.47
     
   | 
|
| LavaMD | 14.32 sec | 0.07 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
|
| SRAD | 10.27 sec | 47.04 | 
     
      97.73
     
   | 
  iterations/sec | 
     
       
      2.08
     
   | 
|
| SRMP | Nov 19, 2024, 11:31:13 PM PST | 
                         
                             2.09
                         
                     | 
                ||||
| 2D | 9.67 sec | 19.45 | 
     
      9.30
     
   | 
  sec | 
     
       
      2.09
     
   | 
|
| Viewport Graphics | Nov 19, 2024, 11:31:22 PM PST | 
                         
                             11.00
                         
                     | 
                ||||
| 3dsmax | 121.65 sec | 15.96 | 
     
      243.20
     
   | 
  fps | 
     
       
      15.20
     
   | 
|
| catia | 114.65 sec | 17.57 | 
     
      125.77
     
   | 
  fps | 
     
       
      7.16
     
   | 
|
| creo | 128.12 sec | 48.42 | 
     
      167.94
     
   | 
  fps | 
     
       
      3.47
     
   | 
|
| energy | 99.52 sec | 11.48 | 
     
      259.35
     
   | 
  fps | 
     
       
      22.60
     
   | 
|
| maya | 90.81 sec | 62.09 | 
     
      516.87
     
   | 
  fps | 
     
       
      8.32
     
   | 
|
| medical | 73.21 sec | 9.63 | 
     
      198.64
     
   | 
  fps | 
     
       
      20.60
     
   | 
|
| solidworks | 69.98 sec | 42.90 | 
     
      584.57
     
   | 
  fps | 
     
       
      13.60
     
   | 
|
| WPCstorage | Nov 19, 2024, 11:44:10 PM PST | 
                         
                             1.11
                         
                     | 
                ||||
| 3dsmax | 62.63 sec | 3299.42 | 
     
      3174.07
     
   | 
  points | 
     
       
      0.96
     
   | 
|
| 7zip | 63.84 sec | 431.06 | 
     
      511.59
     
   | 
  points | 
     
       
      1.19
     
   | 
|
| ccx | 12.81 sec | 1398.45 | 
     
      1837.34
     
   | 
  points | 
     
       
      1.31
     
   | 
|
| cfd | 13.61 sec | 1921.51 | 
     
      1772.28
     
   | 
  points | 
     
       
      0.92
     
   | 
|
| energy | 24.60 sec | 1547.93 | 
     
      1221.80
     
   | 
  points | 
     
       
      0.79
     
   | 
|
| handbrake | 17.60 sec | 1897.99 | 
     
      2467.44
     
   | 
  points | 
     
       
      1.30
     
   | 
|
| icePack | 67.80 sec | 1543.34 | 
     
      1262.61
     
   | 
  points | 
     
       
      0.82
     
   | 
|
| maya | 48.41 sec | 2037.06 | 
     
      3186.03
     
   | 
  points | 
     
       
      1.56
     
   | 
|
| MayaVenice | 29.82 sec | 472.63 | 
     
      634.81
     
   | 
  points | 
     
       
      1.34
     
   | 
|
| MandE | 23.82 sec | 1625.72 | 
     
      1575.17
     
   | 
  points | 
     
       
      0.97
     
   | 
|
| mcad | 60.22 sec | 2612.50 | 
     
      3772.91
     
   | 
  points | 
     
       
      1.44
     
   | 
|
| mozillaVS | 30.21 sec | 7708.43 | 
     
      13092.30
     
   | 
  points | 
     
       
      1.70
     
   | 
|
| namd | 18.71 sec | 1250.61 | 
     
      1213.89
     
   | 
  points | 
     
       
      0.97
     
   | 
|
| proddev | 20.97 sec | 659.82 | 
     
      503.41
     
   | 
  points | 
     
       
      0.76
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 0F4Y1MModel: Precision 5860 Tower
Version: A01
Manufacturer: Dell Inc.
Serial Number: /4ZRY624/CNFCW003AA0048/
BIOS: Dell Inc. 2.4.1
BIOS Version: INTEL - 0 (2024-09-11)
      
      PROCESSOR
    
    CPU #1: Intel(R) Xeon(R) w7-2495X (2496MHz / 24C / 48T)
      
      MEMORY
    
      (DIMM1): Micron Technology MTC20F2085S1RC48BA1 NHFF       (32.00 GB / 4400 MHz / DDR5)(DIMM5): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM3): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM7): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM2): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM6): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM4): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM8): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
Total Memory: 256.00 GB
      
      STORAGE
    
    Disk #1: NVMe KXG80ZNV2T04 NVM (1907.73 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (1904.67 GB)
Partition 3: GPT: Unknown (1.21 GB)
Partition 4: GPT: Unknown (1.52 GB)
Available Volumes
C: (OS): NTFS (1619.04 GB of 1904.67 GB Available)
      
      NETWORK
    
    Adapter #1: Marvell AQtion 10Gbit Network AdapterType: Ethernet 802.3 | MAC: 00:4E:01:FD:24:F7 | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (17) I219-LM
Type: Ethernet 802.3 | MAC: 00:4E:01:FD:24:F6 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 5000 Ada GenerationVideo Memory: 31.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5324 (2024-10-07)
        
        DISPLAY
      
      Display #1: DELL INC. DELL U3219Q 31.5" (3840x2160)Model: A124 | S/N: 5W0Q413 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4391 (Release 2009)
Installation Date: 2024-08-14
Free Memory: 242.37 GB (Physical) | 256.28 GB (Virtual) | 16.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)