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) w7-2475X | 
| Memory | 128.00 GB @ 4400 MHz | 
| GPU | AMD Radeon PRO W7700 | 
| Display | DELL P2720D 27.2" (2560x1440) | 
          
| Storage | NVMe PC SN810 NVMe WD 1907.73 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro for Workstations (22631) | 
Submission Details
| Result Date | Wed Nov 20 2024 01:26:02 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          2.47 | 
Energy  | 
          2.45 | 
Financial Services  | 
          1.82 | 
Life Sciences  | 
          2.27 | 
Media & Entertainment  | 
          2.21 | 
Product Design  | 
          2.13 | 
Productivity & Development  | 
          1.36 | 
Hardware Subsystem Scores
| CPU | 1.92 | 
| Accelerator | 4.56 | 
| Graphics | 7.86 | 
| Storage | 0.74 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.05 | 
| Autodesk Inventor | 0.92 | 
| Blender | 2.21 | 
| Convolution | 2.06 | 
| Data Science | 1.55 | 
| HandBrake | 1.94 | 
| Hidden Line Removal | 1.24 | 
| LAMMPS | 2.25 | 
| LLVM Clang | 1.84 | 
| LuxCoreRender | 1.99 | 
| MFEM | 1.83 | 
| NAMD | 1.72 | 
| Octave | 0.93 | 
| ONNX Inference | 3.94 | 
| OpenFOAM | 9.78 | 
| Options Pricing | 1.82 | 
| Poisson | 2.31 | 
| Python 3 | 1.30 | 
| Rodinia CFD | 2.52 | 
| Rodinia Life Sciences | 2.03 | 
| SRMP | 1.87 | 
| Viewport Graphics | 7.86 | 
| WPCstorage | 0.74 | 
Industry Vertical Scores
| AI & Machine Learning | 2.47 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      121.76
     
   | 
  sec | 
     
       
      1.08
     
   | 
| Scikit-learn | 449.17 | 
     
      208.55
     
   | 
  sec | 
     
       
      2.15
     
   | 
| XGBoost | 91.50 | 
     
      56.98
     
   | 
  sec | 
     
       
      1.61
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      24.71
     
   | 
  ms | 
     
       
      2.58
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      47.69
     
   | 
  inferences/sec | 
     
       
      2.60
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      10.10
     
   | 
  ms | 
     
       
      2.21
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      145.60
     
   | 
  inferences/sec | 
     
       
      3.12
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      23.17
     
   | 
  ms | 
     
       
      2.52
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      58.87
     
   | 
  inferences/sec | 
     
       
      2.82
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      13.16
     
   | 
  ms | 
     
       
      1.62
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      127.65
     
   | 
  inferences/sec | 
     
       
      2.28
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      35.36
     
   | 
  inferences/sec | 
     
       
      9.02
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      47.85
     
   | 
  inferences/sec | 
     
       
      24.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      34.97
     
   | 
  inferences/sec | 
     
       
      5.31
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      18.56
     
   | 
  inferences/sec | 
     
       
      9.66
     
   | 
Industry Vertical Scores
| Energy | 2.45 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.19
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      39.36
     
   | 
  iterations/sec | 
     
       
      2.45
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      13.49
     
   | 
  iterations/sec | 
     
       
      2.18
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      10.43
     
   | 
  sec | 
     
       
      1.87
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      128.99
     
   | 
  fps | 
     
       
      11.20
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1366.92
     
   | 
  points | 
     
       
      0.88
     
   | 
Industry Vertical Scores
| Financial Services | 1.82 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      67934.26
     
   | 
  options/sec | 
     
       
      1.93
     
   | 
| Black-Scholes | 3389.63 | 
     
      7268.01
     
   | 
  Moptions/sec | 
     
       
      2.14
     
   | 
| Binomial | 79377.62 | 
     
      115362.84
     
   | 
  options/sec | 
     
       
      1.45
     
   | 
Industry Vertical Scores
| Life Sciences | 2.27 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1572.17
     
   | 
  tau/day | 
     
       
      2.23
     
   | 
| CHAIN | 1190.35 | 
     
      3194.47
     
   | 
  tau/day | 
     
       
      2.68
     
   | 
| EAM | 0.63 | 
     
      1.37
     
   | 
  ns/day | 
     
       
      2.18
     
   | 
| CHUTE | 38.25 | 
     
      79.98
     
   | 
  tau/day | 
     
       
      2.09
     
   | 
| RHODO | 0.26 | 
     
      0.55
     
   | 
  ns/day | 
     
       
      2.13
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      27.70
     
   | 
  ms/step | 
     
       
      1.64
     
   | 
| f1atpase | 130.50 | 
     
      76.90
     
   | 
  ms/step | 
     
       
      1.70
     
   | 
| stmv | 448.57 | 
     
      243.72
     
   | 
  ms/step | 
     
       
      1.84
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.55
     
   | 
  fps | 
     
       
      2.24
     
   | 
| HotSpot | 8.55 | 
     
      3.98
     
   | 
  sec | 
     
       
      2.15
     
   | 
| LavaMD | 0.07 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.77
     
   | 
| SRAD | 47.04 | 
     
      93.51
     
   | 
  iterations/sec | 
     
       
      1.99
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      113.02
     
   | 
  fps | 
     
       
      11.70
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      824.62
     
   | 
  points | 
     
       
      0.66
     
   | 
Industry Vertical Scores
| Media & Entertainment | 2.21 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      47.10
     
   | 
  sec | 
     
       
      5.98
     
   | 
| BMW27 | 43.82 | 
     
      23.25
     
   | 
  sec | 
     
       
      1.88
     
   | 
| BMW1M | 17.74 | 
     
      9.55
     
   | 
  sec | 
     
       
      1.86
     
   | 
| Island | 29.68 | 
     
      26.02
     
   | 
  sec | 
     
       
      1.14
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      152.54
     
   | 
  sec | 
     
       
      1.28
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.21
     
   | 
  sec | 
     
       
      1.36
     
   | 
| x265 4K to 4K | 107.73 | 
     
      64.83
     
   | 
  sec | 
     
       
      1.66
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      11.02
     
   | 
  sec | 
     
       
      4.54
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      199.63
     
   | 
  fps | 
     
       
      1.18
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      440.40
     
   | 
  fps | 
     
       
      3.42
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.04
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| Food | 1.84 | 
     
      3.92
     
   | 
  Msamples/sec | 
     
       
      2.13
     
   | 
| Danish Mood | 2.29 | 
     
      4.01
     
   | 
  Msamples/sec | 
     
       
      1.75
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.25
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      170.38
     
   | 
  fps | 
     
       
      10.70
     
   | 
| maya | 62.09 | 
     
      446.16
     
   | 
  fps | 
     
       
      7.19
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      1840.47
     
   | 
  points | 
     
       
      0.56
     
   | 
| handbrake | 1897.99 | 
     
      2019.14
     
   | 
  points | 
     
       
      1.06
     
   | 
| maya | 2037.06 | 
     
      952.63
     
   | 
  points | 
     
       
      0.47
     
   | 
| MayaVenice | 472.63 | 
     
      326.93
     
   | 
  points | 
     
       
      0.69
     
   | 
| MandE | 1625.72 | 
     
      1443.79
     
   | 
  points | 
     
       
      0.89
     
   | 
Industry Vertical Scores
| Product Design | 2.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4793.00
     
   | 
  ms | 
     
       
      0.89
     
   | 
| Create/Update Files | 4973.68 | 
     
      5496.00
     
   | 
  ms | 
     
       
      0.91
     
   | 
| Rebuild | 10590.28 | 
     
      11299.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Render Style/Material | 628.78 | 
     
      661.00
     
   | 
  ms | 
     
       
      0.95
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      30.09
     
   | 
  fps | 
     
       
      1.24
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      124.08
     
   | 
  sec | 
     
       
      1.83
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      82.17
     
   | 
  sec | 
     
       
      9.78
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      347.63
     
   | 
  iterations/sec | 
     
       
      2.52
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      104.20
     
   | 
  fps | 
     
       
      5.93
     
   | 
| creo | 48.42 | 
     
      193.79
     
   | 
  fps | 
     
       
      4.00
     
   | 
| solidworks | 42.90 | 
     
      333.96
     
   | 
  fps | 
     
       
      7.78
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1231.11
     
   | 
  points | 
     
       
      0.88
     
   | 
| cfd | 1921.51 | 
     
      1529.94
     
   | 
  points | 
     
       
      0.80
     
   | 
| icePack | 1543.34 | 
     
      862.34
     
   | 
  points | 
     
       
      0.56
     
   | 
| mcad | 2612.50 | 
     
      2497.88
     
   | 
  points | 
     
       
      0.96
     
   | 
| proddev | 659.82 | 
     
      245.19
     
   | 
  points | 
     
       
      0.37
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.36 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      17.22
     
   | 
  sec | 
     
       
      0.93
     
   | 
| Compression | 254.57 | 
     
      50.12
     
   | 
  sec | 
     
       
      5.08
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      305.24
     
   | 
  sec | 
     
       
      1.84
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.24
     
   | 
  sec/operation | 
     
       
      0.97
     
   | 
| benchmark2 | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.90
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.36
     
   | 
  sec | 
     
       
      0.99
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.07
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      5.71
     
   | 
  sec | 
     
       
      1.41
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.98
     
   | 
  sec | 
     
       
      1.41
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
| Multi-Matrix | 65.50 | 
     
      42.70
     
   | 
  sec | 
     
       
      1.53
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      524.26
     
   | 
  points | 
     
       
      1.22
     
   | 
| mozillaVS | 7708.43 | 
     
      7410.09
     
   | 
  points | 
     
       
      0.96
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            4.56
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      199.63
     
   | 
  fps | 
     
       
      1.18
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      440.40
     
   | 
  fps | 
     
       
      3.42
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      35.36
     
   | 
  inferences/sec | 
     
       
      9.02
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      47.85
     
   | 
  inferences/sec | 
     
       
      24.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      34.97
     
   | 
  inferences/sec | 
     
       
      5.31
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      18.56
     
   | 
  inferences/sec | 
     
       
      9.66
     
   | 
            1.92
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      17.22
     
   | 
  sec | 
     
       
      0.93
     
   | 
| Compression | 254.57 | 
     
      50.12
     
   | 
  sec | 
     
       
      5.08
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4793.00
     
   | 
  ms | 
     
       
      0.89
     
   | 
| Create/Update Files | 4973.68 | 
     
      5496.00
     
   | 
  ms | 
     
       
      0.91
     
   | 
| Rebuild | 10590.28 | 
     
      11299.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Render Style/Material | 628.78 | 
     
      661.00
     
   | 
  ms | 
     
       
      0.95
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      47.10
     
   | 
  sec | 
     
       
      5.98
     
   | 
| BMW27 | 43.82 | 
     
      23.25
     
   | 
  sec | 
     
       
      1.88
     
   | 
| BMW1M | 17.74 | 
     
      9.55
     
   | 
  sec | 
     
       
      1.86
     
   | 
| Island | 29.68 | 
     
      26.02
     
   | 
  sec | 
     
       
      1.14
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.19
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      121.76
     
   | 
  sec | 
     
       
      1.08
     
   | 
| Scikit-learn | 449.17 | 
     
      208.55
     
   | 
  sec | 
     
       
      2.15
     
   | 
| XGBoost | 91.50 | 
     
      56.98
     
   | 
  sec | 
     
       
      1.61
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      152.54
     
   | 
  sec | 
     
       
      1.28
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.21
     
   | 
  sec | 
     
       
      1.36
     
   | 
| x265 4K to 4K | 107.73 | 
     
      64.83
     
   | 
  sec | 
     
       
      1.66
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      11.02
     
   | 
  sec | 
     
       
      4.54
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      30.09
     
   | 
  fps | 
     
       
      1.24
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1572.17
     
   | 
  tau/day | 
     
       
      2.23
     
   | 
| CHAIN | 1190.35 | 
     
      3194.47
     
   | 
  tau/day | 
     
       
      2.68
     
   | 
| EAM | 0.63 | 
     
      1.37
     
   | 
  ns/day | 
     
       
      2.18
     
   | 
| CHUTE | 38.25 | 
     
      79.98
     
   | 
  tau/day | 
     
       
      2.09
     
   | 
| RHODO | 0.26 | 
     
      0.55
     
   | 
  ns/day | 
     
       
      2.13
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      305.24
     
   | 
  sec | 
     
       
      1.84
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.04
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| Food | 1.84 | 
     
      3.92
     
   | 
  Msamples/sec | 
     
       
      2.13
     
   | 
| Danish Mood | 2.29 | 
     
      4.01
     
   | 
  Msamples/sec | 
     
       
      1.75
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.25
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      124.08
     
   | 
  sec | 
     
       
      1.83
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      27.70
     
   | 
  ms/step | 
     
       
      1.64
     
   | 
| f1atpase | 130.50 | 
     
      76.90
     
   | 
  ms/step | 
     
       
      1.70
     
   | 
| stmv | 448.57 | 
     
      243.72
     
   | 
  ms/step | 
     
       
      1.84
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.24
     
   | 
  sec/operation | 
     
       
      0.97
     
   | 
| benchmark2 | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.90
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      24.71
     
   | 
  ms | 
     
       
      2.58
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      47.69
     
   | 
  inferences/sec | 
     
       
      2.60
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      10.10
     
   | 
  ms | 
     
       
      2.21
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      145.60
     
   | 
  inferences/sec | 
     
       
      3.12
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      23.17
     
   | 
  ms | 
     
       
      2.52
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      58.87
     
   | 
  inferences/sec | 
     
       
      2.82
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      13.16
     
   | 
  ms | 
     
       
      1.62
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      127.65
     
   | 
  inferences/sec | 
     
       
      2.28
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      82.17
     
   | 
  sec | 
     
       
      9.78
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      67934.26
     
   | 
  options/sec | 
     
       
      1.93
     
   | 
| Black-Scholes | 3389.63 | 
     
      7268.01
     
   | 
  Moptions/sec | 
     
       
      2.14
     
   | 
| Binomial | 79377.62 | 
     
      115362.84
     
   | 
  options/sec | 
     
       
      1.45
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      39.36
     
   | 
  iterations/sec | 
     
       
      2.45
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      13.49
     
   | 
  iterations/sec | 
     
       
      2.18
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.36
     
   | 
  sec | 
     
       
      0.99
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.07
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      5.71
     
   | 
  sec | 
     
       
      1.41
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.98
     
   | 
  sec | 
     
       
      1.41
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
| Multi-Matrix | 65.50 | 
     
      42.70
     
   | 
  sec | 
     
       
      1.53
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      347.63
     
   | 
  iterations/sec | 
     
       
      2.52
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.55
     
   | 
  fps | 
     
       
      2.24
     
   | 
| HotSpot | 8.55 | 
     
      3.98
     
   | 
  sec | 
     
       
      2.15
     
   | 
| LavaMD | 0.07 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.77
     
   | 
| SRAD | 47.04 | 
     
      93.51
     
   | 
  iterations/sec | 
     
       
      1.99
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      10.43
     
   | 
  sec | 
     
       
      1.87
     
   | 
            7.86
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      170.38
     
   | 
  fps | 
     
       
      10.70
     
   | 
| catia | 17.57 | 
     
      104.20
     
   | 
  fps | 
     
       
      5.93
     
   | 
| creo | 48.42 | 
     
      193.79
     
   | 
  fps | 
     
       
      4.00
     
   | 
| energy | 11.48 | 
     
      128.99
     
   | 
  fps | 
     
       
      11.20
     
   | 
| maya | 62.09 | 
     
      446.16
     
   | 
  fps | 
     
       
      7.19
     
   | 
| medical | 9.63 | 
     
      113.02
     
   | 
  fps | 
     
       
      11.70
     
   | 
| solidworks | 42.90 | 
     
      333.96
     
   | 
  fps | 
     
       
      7.78
     
   | 
            0.74
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      1840.47
     
   | 
  points | 
     
       
      0.56
     
   | 
| 7zip | 431.06 | 
     
      524.26
     
   | 
  points | 
     
       
      1.22
     
   | 
| ccx | 1398.45 | 
     
      1231.11
     
   | 
  points | 
     
       
      0.88
     
   | 
| cfd | 1921.51 | 
     
      1529.94
     
   | 
  points | 
     
       
      0.80
     
   | 
| energy | 1547.93 | 
     
      1366.92
     
   | 
  points | 
     
       
      0.88
     
   | 
| handbrake | 1897.99 | 
     
      2019.14
     
   | 
  points | 
     
       
      1.06
     
   | 
| icePack | 1543.34 | 
     
      862.34
     
   | 
  points | 
     
       
      0.56
     
   | 
| maya | 2037.06 | 
     
      952.63
     
   | 
  points | 
     
       
      0.47
     
   | 
| MayaVenice | 472.63 | 
     
      326.93
     
   | 
  points | 
     
       
      0.69
     
   | 
| MandE | 1625.72 | 
     
      1443.79
     
   | 
  points | 
     
       
      0.89
     
   | 
| mcad | 2612.50 | 
     
      2497.88
     
   | 
  points | 
     
       
      0.96
     
   | 
| mozillaVS | 7708.43 | 
     
      7410.09
     
   | 
  points | 
     
       
      0.96
     
   | 
| namd | 1250.61 | 
     
      824.62
     
   | 
  points | 
     
       
      0.66
     
   | 
| proddev | 659.82 | 
     
      245.19
     
   | 
  points | 
     
       
      0.37
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 20, 2024, 1:26:02 AM PST | 
                         
                             3.05
                         
                     | 
                ||||
| Decompression | 17.22 sec | 16.04 | 
     
      17.22
     
   | 
  sec | 
     
       
      0.93
     
   | 
|
| Compression | 50.12 sec | 254.57 | 
     
      50.12
     
   | 
  sec | 
     
       
      5.08
     
   | 
|
| Autodesk Inventor | Nov 20, 2024, 1:27:15 AM PST | 
                         
                             0.92
                         
                     | 
                ||||
| Open Document | 5.05 sec | 4253.73 | 
     
      4793.00
     
   | 
  ms | 
     
       
      0.89
     
   | 
|
| Create/Update Files | 7.38 sec | 4973.68 | 
     
      5496.00
     
   | 
  ms | 
     
       
      0.91
     
   | 
|
| Rebuild | 11.55 sec | 10590.28 | 
     
      11299.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
|
| Render Style/Material | 0.91 sec | 628.78 | 
     
      661.00
     
   | 
  ms | 
     
       
      0.95
     
   | 
|
| Blender | Nov 20, 2024, 1:28:06 AM PST | 
                         
                             2.21
                         
                     | 
                ||||
| Classroom | 47.10 sec | 281.72 | 
     
      47.10
     
   | 
  sec | 
     
       
      5.98
     
   | 
|
| BMW27 | 23.25 sec | 43.82 | 
     
      23.25
     
   | 
  sec | 
     
       
      1.88
     
   | 
|
| BMW1M | 9.55 sec | 17.74 | 
     
      9.55
     
   | 
  sec | 
     
       
      1.86
     
   | 
|
| Island | 26.02 sec | 29.68 | 
     
      26.02
     
   | 
  sec | 
     
       
      1.14
     
   | 
|
| Convolution | Nov 20, 2024, 1:29:57 AM PST | 
                         
                             2.06
                         
                     | 
                ||||
| 20K/100 | 34.01 sec | 0.09 | 
     
      0.19
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
|
| Data Science | Nov 20, 2024, 1:30:31 AM PST | 
                         
                             1.55
                         
                     | 
                ||||
| Pandas | 125.59 sec | 131.99 | 
     
      121.76
     
   | 
  sec | 
     
       
      1.08
     
   | 
|
| Scikit-learn | 213.30 sec | 449.17 | 
     
      208.55
     
   | 
  sec | 
     
       
      2.15
     
   | 
|
| XGBoost | 79.58 sec | 91.50 | 
     
      56.98
     
   | 
  sec | 
     
       
      1.61
     
   | 
|
| HandBrake | Nov 20, 2024, 1:37:46 AM PST | 
                         
                             1.94
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 152.54 sec | 195.16 | 
     
      152.54
     
   | 
  sec | 
     
       
      1.28
     
   | 
|
| x265 4K to 1080p | 29.73 sec | 38.36 | 
     
      28.21
     
   | 
  sec | 
     
       
      1.36
     
   | 
|
| x265 4K to 4K | 66.35 sec | 107.73 | 
     
      64.83
     
   | 
  sec | 
     
       
      1.66
     
   | 
|
| x264 1080p to 1080p | 11.02 sec | 49.98 | 
     
      11.02
     
   | 
  sec | 
     
       
      4.54
     
   | 
|
| GPU H.265 4K to 4K | 55.82 sec | 169.65 | 
     
      199.63
     
   | 
  fps | 
     
       
      1.18
     
   | 
|
| GPU H.265 4K to 1080p | 221.94 sec | 128.84 | 
     
      440.40
     
   | 
  fps | 
     
       
      3.42
     
   | 
|
| Hidden Line Removal | Nov 20, 2024, 1:46:51 AM PST | 
                         
                             1.24
                         
                     | 
                ||||
| Palatov | 17.95 sec | 24.29 | 
     
      30.09
     
   | 
  fps | 
     
       
      1.24
     
   | 
|
| Palatov | 17.91 sec | 24.29 | 
     
      24.64
     
   | 
  fps | 
     
       
      1.01
     
   | 
|
| LAMMPS | Nov 20, 2024, 1:47:27 AM PST | 
                         
                             2.25
                         
                     | 
                ||||
| LJ | 9.96 sec | 705.82 | 
     
      1572.17
     
   | 
  tau/day | 
     
       
      2.23
     
   | 
|
| CHAIN | 8.54 sec | 1190.35 | 
     
      3194.47
     
   | 
  tau/day | 
     
       
      2.68
     
   | 
|
| EAM | 10.54 sec | 0.63 | 
     
      1.37
     
   | 
  ns/day | 
     
       
      2.18
     
   | 
|
| CHUTE | 5.73 sec | 38.25 | 
     
      79.98
     
   | 
  tau/day | 
     
       
      2.09
     
   | 
|
| RHODO | 5.71 sec | 0.26 | 
     
      0.55
     
   | 
  ns/day | 
     
       
      2.13
     
   | 
|
| LLVM Clang | Nov 20, 2024, 1:48:08 AM PST | 
                         
                             1.84
                         
                     | 
                ||||
| PyTorch | 327.85 sec | 562.76 | 
     
      305.24
     
   | 
  sec | 
     
       
      1.84
     
   | 
|
| LuxCoreRender | Nov 20, 2024, 1:54:41 AM PST | 
                         
                             1.99
                         
                     | 
                ||||
| DLSC | 10.62 sec | 2.46 | 
     
      5.04
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
|
| Food | 16.14 sec | 1.84 | 
     
      3.92
     
   | 
  Msamples/sec | 
     
       
      2.13
     
   | 
|
| Danish Mood | 38.25 sec | 2.29 | 
     
      4.01
     
   | 
  Msamples/sec | 
     
       
      1.75
     
   | 
|
| Procedural Leaves | 24.96 sec | 1.10 | 
     
      2.25
     
   | 
  Msamples/sec | 
     
       
      2.05
     
   | 
|
| MFEM | Nov 20, 2024, 1:56:11 AM PST | 
                         
                             1.83
                         
                     | 
                ||||
| Dynamic AMR | 124.08 sec | 227.39 | 
     
      124.08
     
   | 
  sec | 
     
       
      1.83
     
   | 
|
| NAMD | Nov 20, 2024, 1:58:16 AM PST | 
                         
                             1.72
                         
                     | 
                ||||
| apoa1 | 12.52 sec | 45.38 | 
     
      27.70
     
   | 
  ms/step | 
     
       
      1.64
     
   | 
|
| f1atpase | 19.78 sec | 130.50 | 
     
      76.90
     
   | 
  ms/step | 
     
       
      1.70
     
   | 
|
| stmv | 40.09 sec | 448.57 | 
     
      243.72
     
   | 
  ms/step | 
     
       
      1.84
     
   | 
|
| Octave | Nov 20, 2024, 1:59:28 AM PST | 
                         
                             0.93
                         
                     | 
                ||||
| obench | 51.87 sec | 1.20 | 
     
      1.24
     
   | 
  sec/operation | 
     
       
      0.97
     
   | 
|
| benchmark2 | 11.69 sec | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.90
     
   | 
|
| ONNX Inference | Nov 20, 2024, 2:00:43 AM PST | 
                         
                             3.94
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.41 sec | 63.72 | 
     
      24.71
     
   | 
  ms | 
     
       
      2.58
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.08 sec | 18.33 | 
     
      47.69
     
   | 
  inferences/sec | 
     
       
      2.60
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.43 sec | 18.33 | 
     
      47.37
     
   | 
  inferences/sec | 
     
       
      2.58
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.17 sec | 22.37 | 
     
      10.10
     
   | 
  ms | 
     
       
      2.21
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.42 sec | 46.62 | 
     
      145.60
     
   | 
  inferences/sec | 
     
       
      3.12
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.51 sec | 46.62 | 
     
      136.74
     
   | 
  inferences/sec | 
     
       
      2.93
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 | 
     
      23.17
     
   | 
  ms | 
     
       
      2.52
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.75 sec | 20.87 | 
     
      58.87
     
   | 
  inferences/sec | 
     
       
      2.82
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.10 sec | 20.87 | 
     
      53.18
     
   | 
  inferences/sec | 
     
       
      2.55
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 | 
     
      13.16
     
   | 
  ms | 
     
       
      1.62
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.43 sec | 55.92 | 
     
      127.65
     
   | 
  inferences/sec | 
     
       
      2.28
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.53 sec | 55.92 | 
     
      102.80
     
   | 
  inferences/sec | 
     
       
      1.84
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.54 sec | 3.92 | 
     
      35.36
     
   | 
  inferences/sec | 
     
       
      9.02
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.67 sec | 1.92 | 
     
      47.85
     
   | 
  inferences/sec | 
     
       
      24.90
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.50 sec | 6.59 | 
     
      34.97
     
   | 
  inferences/sec | 
     
       
      5.31
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.90 sec | 1.92 | 
     
      18.56
     
   | 
  inferences/sec | 
     
       
      9.66
     
   | 
|
| OpenFOAM | Nov 20, 2024, 2:06:15 AM PST | 
                         
                             9.78
                         
                     | 
                ||||
| XiFoam Solver | 107.86 sec | 803.27 | 
     
      96.25
     
   | 
  sec | 
     
       
      8.35
     
   | 
|
| XiFoam Solver | 92.93 sec | 803.27 | 
     
      82.17
     
   | 
  sec | 
     
       
      9.78
     
   | 
|
| Options Pricing | Nov 20, 2024, 2:09:40 AM PST | 
                         
                             1.82
                         
                     | 
                ||||
| Monte Carlo | 15.53 sec | 35137.48 | 
     
      67934.26
     
   | 
  options/sec | 
     
       
      1.93
     
   | 
|
| Black-Scholes | 10.70 sec | 3389.63 | 
     
      7268.01
     
   | 
  Moptions/sec | 
     
       
      2.14
     
   | 
|
| Binomial | 9.17 sec | 79377.62 | 
     
      115362.84
     
   | 
  options/sec | 
     
       
      1.45
     
   | 
|
| Poisson | Nov 20, 2024, 2:10:16 AM PST | 
                         
                             2.31
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.13 sec | 16.05 | 
     
      20.49
     
   | 
  iterations/sec | 
     
       
      1.28
     
   | 
|
| Jacobi Rectangular Grid | 10.06 sec | 16.05 | 
     
      39.36
     
   | 
  iterations/sec | 
     
       
      2.45
     
   | 
|
| Jacobi Square Grid | 10.14 sec | 6.19 | 
     
      13.24
     
   | 
  iterations/sec | 
     
       
      2.14
     
   | 
|
| Jacobi Square Grid | 10.11 sec | 6.19 | 
     
      13.49
     
   | 
  iterations/sec | 
     
       
      2.18
     
   | 
|
| Python 3 | Nov 20, 2024, 2:10:56 AM PST | 
                         
                             1.30
                         
                     | 
                ||||
| NumPy Create Matrix | 1.35 sec | 0.36 | 
     
      0.36
     
   | 
  sec | 
     
       
      0.99
     
   | 
|
| NumPy Add Matrix | 5.96 sec | 4.44 | 
     
      5.07
     
   | 
  sec | 
     
       
      0.88
     
   | 
|
| NumPy Multiply Matrix | 6.60 sec | 8.06 | 
     
      5.71
     
   | 
  sec | 
     
       
      1.41
     
   | 
|
| NumPy Invert Matrix | 11.90 sec | 15.53 | 
     
      10.98
     
   | 
  sec | 
     
       
      1.41
     
   | 
|
| NumPy Sin Matrix | 3.73 sec | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
|
| Multi-Matrix | 44.10 sec | 65.50 | 
     
      42.70
     
   | 
  sec | 
     
       
      1.53
     
   | 
|
| Rodinia CFD | Nov 20, 2024, 2:12:19 AM PST | 
                         
                             2.52
                         
                     | 
                ||||
| Pre-Euler | 33.30 sec | 138.14 | 
     
      347.63
     
   | 
  iterations/sec | 
     
       
      2.52
     
   | 
|
| Rodinia Life Sciences | Nov 20, 2024, 2:12:53 AM PST | 
                         
                             2.03
                         
                     | 
                ||||
| Heart Wall | 10.55 sec | 0.69 | 
     
      1.55
     
   | 
  fps | 
     
       
      2.24
     
   | 
|
| HotSpot | 5.15 sec | 8.55 | 
     
      3.98
     
   | 
  sec | 
     
       
      2.15
     
   | 
|
| LavaMD | 16.52 sec | 0.07 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.77
     
   | 
|
| SRAD | 10.28 sec | 47.04 | 
     
      93.51
     
   | 
  iterations/sec | 
     
       
      1.99
     
   | 
|
| SRMP | Nov 20, 2024, 2:13:36 AM PST | 
                         
                             1.87
                         
                     | 
                ||||
| 2D | 10.81 sec | 19.45 | 
     
      10.43
     
   | 
  sec | 
     
       
      1.87
     
   | 
|
| Viewport Graphics | Nov 20, 2024, 2:13:47 AM PST | 
                         
                             7.86
                         
                     | 
                ||||
| 3dsmax | 128.71 sec | 15.96 | 
     
      170.38
     
   | 
  fps | 
     
       
      10.70
     
   | 
|
| catia | 138.72 sec | 17.57 | 
     
      104.20
     
   | 
  fps | 
     
       
      5.93
     
   | 
|
| creo | 133.28 sec | 48.42 | 
     
      193.79
     
   | 
  fps | 
     
       
      4.00
     
   | 
|
| energy | 94.92 sec | 11.48 | 
     
      128.99
     
   | 
  fps | 
     
       
      11.20
     
   | 
|
| maya | 92.19 sec | 62.09 | 
     
      446.16
     
   | 
  fps | 
     
       
      7.19
     
   | 
|
| medical | 84.38 sec | 9.63 | 
     
      113.02
     
   | 
  fps | 
     
       
      11.70
     
   | 
|
| solidworks | 90.11 sec | 42.90 | 
     
      333.96
     
   | 
  fps | 
     
       
      7.78
     
   | 
|
| WPCstorage | Nov 20, 2024, 2:27:39 AM PST | 
                         
                             0.74
                         
                     | 
                ||||
| 3dsmax | 81.10 sec | 3299.42 | 
     
      1840.47
     
   | 
  points | 
     
       
      0.56
     
   | 
|
| 7zip | 59.47 sec | 431.06 | 
     
      524.26
     
   | 
  points | 
     
       
      1.22
     
   | 
|
| ccx | 12.75 sec | 1398.45 | 
     
      1231.11
     
   | 
  points | 
     
       
      0.88
     
   | 
|
| cfd | 13.59 sec | 1921.51 | 
     
      1529.94
     
   | 
  points | 
     
       
      0.80
     
   | 
|
| energy | 23.23 sec | 1547.93 | 
     
      1366.92
     
   | 
  points | 
     
       
      0.88
     
   | 
|
| handbrake | 17.73 sec | 1897.99 | 
     
      2019.14
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| icePack | 81.95 sec | 1543.34 | 
     
      862.34
     
   | 
  points | 
     
       
      0.56
     
   | 
|
| maya | 95.14 sec | 2037.06 | 
     
      952.63
     
   | 
  points | 
     
       
      0.47
     
   | 
|
| MayaVenice | 42.49 sec | 472.63 | 
     
      326.93
     
   | 
  points | 
     
       
      0.69
     
   | 
|
| MandE | 22.77 sec | 1625.72 | 
     
      1443.79
     
   | 
  points | 
     
       
      0.89
     
   | 
|
| mcad | 70.72 sec | 2612.50 | 
     
      2497.88
     
   | 
  points | 
     
       
      0.96
     
   | 
|
| mozillaVS | 31.77 sec | 7708.43 | 
     
      7410.09
     
   | 
  points | 
     
       
      0.96
     
   | 
|
| namd | 20.02 sec | 1250.61 | 
     
      824.62
     
   | 
  points | 
     
       
      0.66
     
   | 
|
| proddev | 24.35 sec | 659.82 | 
     
      245.19
     
   | 
  points | 
     
       
      0.37
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 097FW8Model: Precision 5860 Tower
Version: A01
Manufacturer: Dell Inc.
Serial Number: /H6G4L44/CNFCW0045F00FG/
BIOS: Dell Inc. 2.4.1
BIOS Version: INTEL - 0 (2024-09-11)
      
      PROCESSOR
    
    CPU #1: Intel(R) Xeon(R) w7-2475X (2592MHz / 20C / 40T)
      
      MEMORY
    
      (DIMM1): SK Hynix HMCG78AEBRA115N                (16.00 GB / 4400 MHz / DDR5)(DIMM5): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM3): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM7): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM2): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM6): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM4): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM8): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
Total Memory: 128.00 GB
      
      STORAGE
    
    Disk #1: NVMe PC SN810 NVMe WD (1907.73 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (1904.58 GB)
Partition 3: GPT: Unknown (1.26 GB)
Partition 4: GPT: Unknown (1.56 GB)
Available Volumes
C: (OS): NTFS (1748.93 GB of 1904.58 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 4C:D7:17:A9:40:48 | Speed: Not Connected
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: FC:B0:DE:D0:E2:D0 | Speed: Not Connected
Adapter #3: Marvell AQtion 10Gbit Network Adapter
Type: Ethernet 802.3 | MAC: 4C:D7:17:A9:40:49 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: AMD Radeon PRO W7700Video Memory: 15.98 GB
Current Resolution: 2560x1440 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
        
        DISPLAY
      
      Display #1: DELL INC. DELL P2720D 27.2" (2560x1440)Model: D100 | S/N: JV69F99J07HL | 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: 2024-09-26
Free Memory: 114.81 GB (Physical) | 120.91 GB (Virtual) | 8.00 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)