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 3590 | 
| CPU | Intel(R) Core(TM) Ultra 7 165H | 
| Memory | 64.00 GB @ 5600 MHz | 
| GPU | 1x NVIDIA RTX 500 Ada Generation Laptop GPU 1x Intel(R) Arc(TM) Graphics  | 
          
| Display | Internal Display 15.3" (1920x1080) | 
          
| Storage | NVMe PM9A1 NVMe Samsung 1024GB 953.86 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (22631) | 
Submission Details
| Result Date | Tue Nov 19 2024 12:34:28 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          1.11 | 
Energy  | 
          1.09 | 
Financial Services  | 
          0.54 | 
Life Sciences  | 
          1.06 | 
Media & Entertainment  | 
          1.12 | 
Product Design  | 
          1.26 | 
Productivity & Development  | 
          0.99 | 
Hardware Subsystem Scores
| CPU | 0.85 | 
| Accelerator | 2.75 | 
| Graphics | 2.68 | 
| Storage | 1.15 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 2.20 | 
| Autodesk Inventor | 0.86 | 
| Blender | 0.90 | 
| Convolution | 0.63 | 
| Data Science | 1.08 | 
| HandBrake | 1.14 | 
| Hidden Line Removal | 0.86 | 
| LAMMPS | 0.83 | 
| LLVM Clang | 0.62 | 
| LuxCoreRender | 0.62 | 
| MFEM | 0.83 | 
| NAMD | 0.54 | 
| Octave | 0.92 | 
| ONNX Inference | 1.14 | 
| OpenFOAM | 4.84 | 
| Options Pricing | 0.54 | 
| Poisson | 1.32 | 
| Python 3 | 0.70 | 
| Rodinia CFD | 0.68 | 
| Rodinia Life Sciences | 0.65 | 
| SRMP | 0.53 | 
| Viewport Graphics | 2.68 | 
| WPCstorage | 1.15 | 
Industry Vertical Scores
| AI & Machine Learning | 1.11 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      131.14
     
   | 
  sec | 
     
       
      1.01
     
   | 
| Scikit-learn | 449.17 | 
     
      415.76
     
   | 
  sec | 
     
       
      1.08
     
   | 
| XGBoost | 91.50 | 
     
      78.77
     
   | 
  sec | 
     
       
      1.16
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      102.56
     
   | 
  ms | 
     
       
      0.62
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      9.23
     
   | 
  inferences/sec | 
     
       
      0.50
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      36.09
     
   | 
  ms | 
     
       
      0.62
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      28.02
     
   | 
  inferences/sec | 
     
       
      0.60
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      109.03
     
   | 
  ms | 
     
       
      0.54
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      11.68
     
   | 
  inferences/sec | 
     
       
      0.56
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      35.56
     
   | 
  ms | 
     
       
      0.60
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      33.88
     
   | 
  inferences/sec | 
     
       
      0.61
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      10.25
     
   | 
  inferences/sec | 
     
       
      2.62
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      20.89
     
   | 
  inferences/sec | 
     
       
      10.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      12.66
     
   | 
  inferences/sec | 
     
       
      1.92
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      13.14
     
   | 
  inferences/sec | 
     
       
      6.84
     
   | 
Industry Vertical Scores
| Energy | 1.09 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.06
     
   | 
  iterations/sec | 
     
       
      0.63
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      22.14
     
   | 
  iterations/sec | 
     
       
      1.38
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.88
     
   | 
  iterations/sec | 
     
       
      1.27
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      36.50
     
   | 
  sec | 
     
       
      0.53
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      38.02
     
   | 
  fps | 
     
       
      3.31
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1646.60
     
   | 
  points | 
     
       
      1.06
     
   | 
Industry Vertical Scores
| Financial Services | 0.54 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      19340.50
     
   | 
  options/sec | 
     
       
      0.55
     
   | 
| Black-Scholes | 3389.63 | 
     
      2021.99
     
   | 
  Moptions/sec | 
     
       
      0.60
     
   | 
| Binomial | 79377.62 | 
     
      37112.78
     
   | 
  options/sec | 
     
       
      0.47
     
   | 
Industry Vertical Scores
| Life Sciences | 1.06 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      566.15
     
   | 
  tau/day | 
     
       
      0.80
     
   | 
| CHAIN | 1190.35 | 
     
      1237.43
     
   | 
  tau/day | 
     
       
      1.04
     
   | 
| EAM | 0.63 | 
     
      0.49
     
   | 
  ns/day | 
     
       
      0.77
     
   | 
| CHUTE | 38.25 | 
     
      41.18
     
   | 
  tau/day | 
     
       
      1.08
     
   | 
| RHODO | 0.26 | 
     
      0.15
     
   | 
  ns/day | 
     
       
      0.56
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      91.67
     
   | 
  ms/step | 
     
       
      0.49
     
   | 
| f1atpase | 130.50 | 
     
      244.18
     
   | 
  ms/step | 
     
       
      0.53
     
   | 
| stmv | 448.57 | 
     
      767.83
     
   | 
  ms/step | 
     
       
      0.58
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.56
     
   | 
  fps | 
     
       
      0.81
     
   | 
| HotSpot | 8.55 | 
     
      16.61
     
   | 
  sec | 
     
       
      0.52
     
   | 
| LavaMD | 0.07 | 
     
      0.05
     
   | 
  iterations/sec | 
     
       
      0.71
     
   | 
| SRAD | 47.04 | 
     
      27.77
     
   | 
  iterations/sec | 
     
       
      0.59
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      42.30
     
   | 
  fps | 
     
       
      4.39
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1337.24
     
   | 
  points | 
     
       
      1.07
     
   | 
Industry Vertical Scores
| Media & Entertainment | 1.12 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      134.36
     
   | 
  sec | 
     
       
      2.10
     
   | 
| BMW27 | 43.82 | 
     
      68.46
     
   | 
  sec | 
     
       
      0.64
     
   | 
| BMW1M | 17.74 | 
     
      25.85
     
   | 
  sec | 
     
       
      0.69
     
   | 
| Island | 29.68 | 
     
      42.03
     
   | 
  sec | 
     
       
      0.71
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      260.57
     
   | 
  sec | 
     
       
      0.75
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      59.04
     
   | 
  sec | 
     
       
      0.65
     
   | 
| x265 4K to 4K | 107.73 | 
     
      158.77
     
   | 
  sec | 
     
       
      0.68
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      21.91
     
   | 
  sec | 
     
       
      2.28
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      219.56
     
   | 
  fps | 
     
       
      1.29
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      293.48
     
   | 
  fps | 
     
       
      2.28
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      1.76
     
   | 
  Msamples/sec | 
     
       
      0.71
     
   | 
| Food | 1.84 | 
     
      1.25
     
   | 
  Msamples/sec | 
     
       
      0.68
     
   | 
| Danish Mood | 2.29 | 
     
      1.25
     
   | 
  Msamples/sec | 
     
       
      0.55
     
   | 
| Procedural Leaves | 1.10 | 
     
      0.63
     
   | 
  Msamples/sec | 
     
       
      0.57
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      43.51
     
   | 
  fps | 
     
       
      2.73
     
   | 
| maya | 62.09 | 
     
      151.80
     
   | 
  fps | 
     
       
      2.44
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3991.21
     
   | 
  points | 
     
       
      1.21
     
   | 
| handbrake | 1897.99 | 
     
      2275.99
     
   | 
  points | 
     
       
      1.20
     
   | 
| maya | 2037.06 | 
     
      2230.19
     
   | 
  points | 
     
       
      1.09
     
   | 
| MayaVenice | 472.63 | 
     
      490.37
     
   | 
  points | 
     
       
      1.04
     
   | 
| MandE | 1625.72 | 
     
      1507.49
     
   | 
  points | 
     
       
      0.93
     
   | 
Industry Vertical Scores
| Product Design | 1.26 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5248.00
     
   | 
  ms | 
     
       
      0.81
     
   | 
| Create/Update Files | 4973.68 | 
     
      5720.00
     
   | 
  ms | 
     
       
      0.87
     
   | 
| Rebuild | 10590.28 | 
     
      12093.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Render Style/Material | 628.78 | 
     
      712.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      21.00
     
   | 
  fps | 
     
       
      0.86
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      274.04
     
   | 
  sec | 
     
       
      0.83
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      165.89
     
   | 
  sec | 
     
       
      4.84
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      93.70
     
   | 
  iterations/sec | 
     
       
      0.68
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      36.60
     
   | 
  fps | 
     
       
      2.08
     
   | 
| creo | 48.42 | 
     
      87.20
     
   | 
  fps | 
     
       
      1.80
     
   | 
| solidworks | 42.90 | 
     
      118.40
     
   | 
  fps | 
     
       
      2.76
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1991.43
     
   | 
  points | 
     
       
      1.42
     
   | 
| cfd | 1921.51 | 
     
      1948.62
     
   | 
  points | 
     
       
      1.01
     
   | 
| icePack | 1543.34 | 
     
      1921.01
     
   | 
  points | 
     
       
      1.24
     
   | 
| mcad | 2612.50 | 
     
      3832.65
     
   | 
  points | 
     
       
      1.47
     
   | 
| proddev | 659.82 | 
     
      562.23
     
   | 
  points | 
     
       
      0.85
     
   | 
Industry Vertical Scores
| Productivity & Development | 0.99 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      19.19
     
   | 
  sec | 
     
       
      0.84
     
   | 
| Compression | 254.57 | 
     
      76.72
     
   | 
  sec | 
     
       
      3.32
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      902.72
     
   | 
  sec | 
     
       
      0.62
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.30
     
   | 
  sec/operation | 
     
       
      0.93
     
   | 
| benchmark2 | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.91
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.43
     
   | 
  sec | 
     
       
      0.84
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.94
     
   | 
  sec | 
     
       
      0.90
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      12.32
     
   | 
  sec | 
     
       
      0.65
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      21.42
     
   | 
  sec | 
     
       
      0.72
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.19
     
   | 
  sec | 
     
       
      0.84
     
   | 
| Multi-Matrix | 65.50 | 
     
      103.92
     
   | 
  sec | 
     
       
      0.63
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      529.97
     
   | 
  points | 
     
       
      1.23
     
   | 
| mozillaVS | 7708.43 | 
     
      11353.10
     
   | 
  points | 
     
       
      1.47
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            2.75
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      219.56
     
   | 
  fps | 
     
       
      1.29
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      293.48
     
   | 
  fps | 
     
       
      2.28
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      10.25
     
   | 
  inferences/sec | 
     
       
      2.62
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      20.89
     
   | 
  inferences/sec | 
     
       
      10.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      12.66
     
   | 
  inferences/sec | 
     
       
      1.92
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      13.14
     
   | 
  inferences/sec | 
     
       
      6.84
     
   | 
            0.85
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      19.19
     
   | 
  sec | 
     
       
      0.84
     
   | 
| Compression | 254.57 | 
     
      76.72
     
   | 
  sec | 
     
       
      3.32
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5248.00
     
   | 
  ms | 
     
       
      0.81
     
   | 
| Create/Update Files | 4973.68 | 
     
      5720.00
     
   | 
  ms | 
     
       
      0.87
     
   | 
| Rebuild | 10590.28 | 
     
      12093.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Render Style/Material | 628.78 | 
     
      712.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      134.36
     
   | 
  sec | 
     
       
      2.10
     
   | 
| BMW27 | 43.82 | 
     
      68.46
     
   | 
  sec | 
     
       
      0.64
     
   | 
| BMW1M | 17.74 | 
     
      25.85
     
   | 
  sec | 
     
       
      0.69
     
   | 
| Island | 29.68 | 
     
      42.03
     
   | 
  sec | 
     
       
      0.71
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.06
     
   | 
  iterations/sec | 
     
       
      0.63
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      131.14
     
   | 
  sec | 
     
       
      1.01
     
   | 
| Scikit-learn | 449.17 | 
     
      415.76
     
   | 
  sec | 
     
       
      1.08
     
   | 
| XGBoost | 91.50 | 
     
      78.77
     
   | 
  sec | 
     
       
      1.16
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      260.57
     
   | 
  sec | 
     
       
      0.75
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      59.04
     
   | 
  sec | 
     
       
      0.65
     
   | 
| x265 4K to 4K | 107.73 | 
     
      158.77
     
   | 
  sec | 
     
       
      0.68
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      21.91
     
   | 
  sec | 
     
       
      2.28
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      21.00
     
   | 
  fps | 
     
       
      0.86
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      566.15
     
   | 
  tau/day | 
     
       
      0.80
     
   | 
| CHAIN | 1190.35 | 
     
      1237.43
     
   | 
  tau/day | 
     
       
      1.04
     
   | 
| EAM | 0.63 | 
     
      0.49
     
   | 
  ns/day | 
     
       
      0.77
     
   | 
| CHUTE | 38.25 | 
     
      41.18
     
   | 
  tau/day | 
     
       
      1.08
     
   | 
| RHODO | 0.26 | 
     
      0.15
     
   | 
  ns/day | 
     
       
      0.56
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      902.72
     
   | 
  sec | 
     
       
      0.62
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      1.76
     
   | 
  Msamples/sec | 
     
       
      0.71
     
   | 
| Food | 1.84 | 
     
      1.25
     
   | 
  Msamples/sec | 
     
       
      0.68
     
   | 
| Danish Mood | 2.29 | 
     
      1.25
     
   | 
  Msamples/sec | 
     
       
      0.55
     
   | 
| Procedural Leaves | 1.10 | 
     
      0.63
     
   | 
  Msamples/sec | 
     
       
      0.57
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      274.04
     
   | 
  sec | 
     
       
      0.83
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      91.67
     
   | 
  ms/step | 
     
       
      0.49
     
   | 
| f1atpase | 130.50 | 
     
      244.18
     
   | 
  ms/step | 
     
       
      0.53
     
   | 
| stmv | 448.57 | 
     
      767.83
     
   | 
  ms/step | 
     
       
      0.58
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.30
     
   | 
  sec/operation | 
     
       
      0.93
     
   | 
| benchmark2 | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.91
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      102.56
     
   | 
  ms | 
     
       
      0.62
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      9.23
     
   | 
  inferences/sec | 
     
       
      0.50
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      36.09
     
   | 
  ms | 
     
       
      0.62
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      28.02
     
   | 
  inferences/sec | 
     
       
      0.60
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      109.03
     
   | 
  ms | 
     
       
      0.54
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      11.68
     
   | 
  inferences/sec | 
     
       
      0.56
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      35.56
     
   | 
  ms | 
     
       
      0.60
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      33.88
     
   | 
  inferences/sec | 
     
       
      0.61
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      165.89
     
   | 
  sec | 
     
       
      4.84
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      19340.50
     
   | 
  options/sec | 
     
       
      0.55
     
   | 
| Black-Scholes | 3389.63 | 
     
      2021.99
     
   | 
  Moptions/sec | 
     
       
      0.60
     
   | 
| Binomial | 79377.62 | 
     
      37112.78
     
   | 
  options/sec | 
     
       
      0.47
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      22.14
     
   | 
  iterations/sec | 
     
       
      1.38
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.88
     
   | 
  iterations/sec | 
     
       
      1.27
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.43
     
   | 
  sec | 
     
       
      0.84
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.94
     
   | 
  sec | 
     
       
      0.90
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      12.32
     
   | 
  sec | 
     
       
      0.65
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      21.42
     
   | 
  sec | 
     
       
      0.72
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.19
     
   | 
  sec | 
     
       
      0.84
     
   | 
| Multi-Matrix | 65.50 | 
     
      103.92
     
   | 
  sec | 
     
       
      0.63
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      93.70
     
   | 
  iterations/sec | 
     
       
      0.68
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.56
     
   | 
  fps | 
     
       
      0.81
     
   | 
| HotSpot | 8.55 | 
     
      16.61
     
   | 
  sec | 
     
       
      0.52
     
   | 
| LavaMD | 0.07 | 
     
      0.05
     
   | 
  iterations/sec | 
     
       
      0.71
     
   | 
| SRAD | 47.04 | 
     
      27.77
     
   | 
  iterations/sec | 
     
       
      0.59
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      36.50
     
   | 
  sec | 
     
       
      0.53
     
   | 
            2.68
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      43.51
     
   | 
  fps | 
     
       
      2.73
     
   | 
| catia | 17.57 | 
     
      36.60
     
   | 
  fps | 
     
       
      2.08
     
   | 
| creo | 48.42 | 
     
      87.20
     
   | 
  fps | 
     
       
      1.80
     
   | 
| energy | 11.48 | 
     
      38.02
     
   | 
  fps | 
     
       
      3.31
     
   | 
| maya | 62.09 | 
     
      151.80
     
   | 
  fps | 
     
       
      2.44
     
   | 
| medical | 9.63 | 
     
      42.30
     
   | 
  fps | 
     
       
      4.39
     
   | 
| solidworks | 42.90 | 
     
      118.40
     
   | 
  fps | 
     
       
      2.76
     
   | 
            1.15
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3991.21
     
   | 
  points | 
     
       
      1.21
     
   | 
| 7zip | 431.06 | 
     
      529.97
     
   | 
  points | 
     
       
      1.23
     
   | 
| ccx | 1398.45 | 
     
      1991.43
     
   | 
  points | 
     
       
      1.42
     
   | 
| cfd | 1921.51 | 
     
      1948.62
     
   | 
  points | 
     
       
      1.01
     
   | 
| energy | 1547.93 | 
     
      1646.60
     
   | 
  points | 
     
       
      1.06
     
   | 
| handbrake | 1897.99 | 
     
      2275.99
     
   | 
  points | 
     
       
      1.20
     
   | 
| icePack | 1543.34 | 
     
      1921.01
     
   | 
  points | 
     
       
      1.24
     
   | 
| maya | 2037.06 | 
     
      2230.19
     
   | 
  points | 
     
       
      1.09
     
   | 
| MayaVenice | 472.63 | 
     
      490.37
     
   | 
  points | 
     
       
      1.04
     
   | 
| MandE | 1625.72 | 
     
      1507.49
     
   | 
  points | 
     
       
      0.93
     
   | 
| mcad | 2612.50 | 
     
      3832.65
     
   | 
  points | 
     
       
      1.47
     
   | 
| mozillaVS | 7708.43 | 
     
      11353.10
     
   | 
  points | 
     
       
      1.47
     
   | 
| namd | 1250.61 | 
     
      1337.24
     
   | 
  points | 
     
       
      1.07
     
   | 
| proddev | 659.82 | 
     
      562.23
     
   | 
  points | 
     
       
      0.85
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2024, 12:34:28 PM PST | 
                         
                             2.20
                         
                     | 
                ||||
| Decompression | 19.19 sec | 16.04 | 
     
      19.19
     
   | 
  sec | 
     
       
      0.84
     
   | 
|
| Compression | 76.72 sec | 254.57 | 
     
      76.72
     
   | 
  sec | 
     
       
      3.32
     
   | 
|
| Autodesk Inventor | Nov 19, 2024, 12:36:14 PM PST | 
                         
                             0.86
                         
                     | 
                ||||
| Open Document | 5.48 sec | 4253.73 | 
     
      5248.00
     
   | 
  ms | 
     
       
      0.81
     
   | 
|
| Create/Update Files | 7.55 sec | 4973.68 | 
     
      5720.00
     
   | 
  ms | 
     
       
      0.87
     
   | 
|
| Rebuild | 12.32 sec | 10590.28 | 
     
      12093.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
|
| Render Style/Material | 0.94 sec | 628.78 | 
     
      712.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
|
| Blender | Nov 19, 2024, 12:37:08 PM PST | 
                         
                             0.90
                         
                     | 
                ||||
| Classroom | 134.36 sec | 281.72 | 
     
      134.36
     
   | 
  sec | 
     
       
      2.10
     
   | 
|
| BMW27 | 68.46 sec | 43.82 | 
     
      68.46
     
   | 
  sec | 
     
       
      0.64
     
   | 
|
| BMW1M | 25.85 sec | 17.74 | 
     
      25.85
     
   | 
  sec | 
     
       
      0.69
     
   | 
|
| Island | 42.03 sec | 29.68 | 
     
      42.03
     
   | 
  sec | 
     
       
      0.71
     
   | 
|
| Convolution | Nov 19, 2024, 12:41:44 PM PST | 
                         
                             0.63
                         
                     | 
                ||||
| 20K/100 | 37.50 sec | 0.09 | 
     
      0.06
     
   | 
  iterations/sec | 
     
       
      0.63
     
   | 
|
| Data Science | Nov 19, 2024, 12:42:21 PM PST | 
                         
                             1.08
                         
                     | 
                ||||
| Pandas | 134.95 sec | 131.99 | 
     
      131.14
     
   | 
  sec | 
     
       
      1.01
     
   | 
|
| Scikit-learn | 420.79 sec | 449.17 | 
     
      415.76
     
   | 
  sec | 
     
       
      1.08
     
   | 
|
| XGBoost | 103.89 sec | 91.50 | 
     
      78.77
     
   | 
  sec | 
     
       
      1.16
     
   | 
|
| HandBrake | Nov 19, 2024, 12:53:40 PM PST | 
                         
                             1.14
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 260.57 sec | 195.16 | 
     
      260.57
     
   | 
  sec | 
     
       
      0.75
     
   | 
|
| x265 4K to 1080p | 61.52 sec | 38.36 | 
     
      59.04
     
   | 
  sec | 
     
       
      0.65
     
   | 
|
| x265 4K to 4K | 161.22 sec | 107.73 | 
     
      158.77
     
   | 
  sec | 
     
       
      0.68
     
   | 
|
| x264 1080p to 1080p | 21.91 sec | 49.98 | 
     
      21.91
     
   | 
  sec | 
     
       
      2.28
     
   | 
|
| GPU H.265 4K to 4K | 100.03 sec | 169.65 | 
     
      136.05
     
   | 
  fps | 
     
       
      0.80
     
   | 
|
| GPU H.265 4K to 4K | 80.24 sec | 169.65 | 
     
      219.56
     
   | 
  fps | 
     
       
      1.29
     
   | 
|
| GPU H.265 4K to 1080p | 262.44 sec | 128.84 | 
     
      163.54
     
   | 
  fps | 
     
       
      1.27
     
   | 
|
| GPU H.265 4K to 1080p | 249.35 sec | 128.84 | 
     
      293.48
     
   | 
  fps | 
     
       
      2.28
     
   | 
|
| Hidden Line Removal | Nov 19, 2024, 1:13:45 PM PST | 
                         
                             0.86
                         
                     | 
                ||||
| Palatov | 18.83 sec | 24.29 | 
     
      21.00
     
   | 
  fps | 
     
       
      0.86
     
   | 
|
| Palatov | 18.75 sec | 24.29 | 
     
      19.73
     
   | 
  fps | 
     
       
      0.81
     
   | 
|
| LAMMPS | Nov 19, 2024, 1:14:24 PM PST | 
                         
                             0.83
                         
                     | 
                ||||
| LJ | 27.12 sec | 705.82 | 
     
      566.15
     
   | 
  tau/day | 
     
       
      0.80
     
   | 
|
| CHAIN | 20.85 sec | 1190.35 | 
     
      1237.43
     
   | 
  tau/day | 
     
       
      1.04
     
   | 
|
| EAM | 28.81 sec | 0.63 | 
     
      0.49
     
   | 
  ns/day | 
     
       
      0.77
     
   | 
|
| CHUTE | 10.83 sec | 38.25 | 
     
      41.18
     
   | 
  tau/day | 
     
       
      1.08
     
   | 
|
| RHODO | 19.17 sec | 0.26 | 
     
      0.15
     
   | 
  ns/day | 
     
       
      0.56
     
   | 
|
| LLVM Clang | Nov 19, 2024, 1:16:11 PM PST | 
                         
                             0.62
                         
                     | 
                ||||
| PyTorch | 930.51 sec | 562.76 | 
     
      902.72
     
   | 
  sec | 
     
       
      0.62
     
   | 
|
| LuxCoreRender | Nov 19, 2024, 1:32:55 PM PST | 
                         
                             0.62
                         
                     | 
                ||||
| DLSC | 26.67 sec | 2.46 | 
     
      1.76
     
   | 
  Msamples/sec | 
     
       
      0.71
     
   | 
|
| Food | 39.41 sec | 1.84 | 
     
      1.25
     
   | 
  Msamples/sec | 
     
       
      0.68
     
   | 
|
| Danish Mood | 117.45 sec | 2.29 | 
     
      1.25
     
   | 
  Msamples/sec | 
     
       
      0.55
     
   | 
|
| Procedural Leaves | 85.77 sec | 1.10 | 
     
      0.63
     
   | 
  Msamples/sec | 
     
       
      0.57
     
   | 
|
| MFEM | Nov 19, 2024, 1:37:24 PM PST | 
                         
                             0.83
                         
                     | 
                ||||
| Dynamic AMR | 274.04 sec | 227.39 | 
     
      274.04
     
   | 
  sec | 
     
       
      0.83
     
   | 
|
| NAMD | Nov 19, 2024, 1:41:59 PM PST | 
                         
                             0.54
                         
                     | 
                ||||
| apoa1 | 25.41 sec | 45.38 | 
     
      91.67
     
   | 
  ms/step | 
     
       
      0.49
     
   | 
|
| f1atpase | 54.69 sec | 130.50 | 
     
      244.18
     
   | 
  ms/step | 
     
       
      0.53
     
   | 
|
| stmv | 77.47 sec | 448.57 | 
     
      767.83
     
   | 
  ms/step | 
     
       
      0.58
     
   | 
|
| Octave | Nov 19, 2024, 1:44:36 PM PST | 
                         
                             0.92
                         
                     | 
                ||||
| obench | 40.29 sec | 1.20 | 
     
      1.30
     
   | 
  sec/operation | 
     
       
      0.93
     
   | 
|
| benchmark2 | 11.37 sec | 0.11 | 
     
      0.12
     
   | 
  sec/operation | 
     
       
      0.91
     
   | 
|
| ONNX Inference | Nov 19, 2024, 1:45:42 PM PST | 
                         
                             1.14
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.64 sec | 63.72 | 
     
      102.56
     
   | 
  ms | 
     
       
      0.62
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.15 sec | 18.33 | 
     
      9.23
     
   | 
  inferences/sec | 
     
       
      0.50
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.83 sec | 18.33 | 
     
      9.00
     
   | 
  inferences/sec | 
     
       
      0.49
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.22 sec | 22.37 | 
     
      36.09
     
   | 
  ms | 
     
       
      0.62
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.74 sec | 46.62 | 
     
      27.40
     
   | 
  inferences/sec | 
     
       
      0.59
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.91 sec | 46.62 | 
     
      28.02
     
   | 
  inferences/sec | 
     
       
      0.60
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.25 sec | 58.42 | 
     
      109.03
     
   | 
  ms | 
     
       
      0.54
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.49 sec | 20.87 | 
     
      11.68
     
   | 
  inferences/sec | 
     
       
      0.56
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 22.32 sec | 20.87 | 
     
      10.75
     
   | 
  inferences/sec | 
     
       
      0.52
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.14 sec | 21.34 | 
     
      35.56
     
   | 
  ms | 
     
       
      0.60
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.59 sec | 55.92 | 
     
      33.88
     
   | 
  inferences/sec | 
     
       
      0.61
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.91 sec | 55.92 | 
     
      32.10
     
   | 
  inferences/sec | 
     
       
      0.57
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 22.70 sec | 3.92 | 
     
      10.25
     
   | 
  inferences/sec | 
     
       
      2.62
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.89 sec | 3.92 | 
     
      10.21
     
   | 
  inferences/sec | 
     
       
      2.61
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.78 sec | 1.92 | 
     
      20.89
     
   | 
  inferences/sec | 
     
       
      10.90
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.77 sec | 1.92 | 
     
      20.52
     
   | 
  inferences/sec | 
     
       
      10.70
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 20.89 sec | 6.59 | 
     
      10.39
     
   | 
  inferences/sec | 
     
       
      1.58
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 20.96 sec | 6.59 | 
     
      12.66
     
   | 
  inferences/sec | 
     
       
      1.92
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.87 sec | 1.92 | 
     
      13.14
     
   | 
  inferences/sec | 
     
       
      6.84
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.90 sec | 1.92 | 
     
      12.82
     
   | 
  inferences/sec | 
     
       
      6.68
     
   | 
|
| OpenFOAM | Nov 19, 2024, 1:52:46 PM PST | 
                         
                             4.84
                         
                     | 
                ||||
| XiFoam Solver | 342.21 sec | 803.27 | 
     
      324.10
     
   | 
  sec | 
     
       
      2.48
     
   | 
|
| XiFoam Solver | 176.99 sec | 803.27 | 
     
      165.89
     
   | 
  sec | 
     
       
      4.84
     
   | 
|
| Options Pricing | Nov 19, 2024, 2:01:31 PM PST | 
                         
                             0.54
                         
                     | 
                ||||
| Monte Carlo | 54.32 sec | 35137.48 | 
     
      19340.50
     
   | 
  options/sec | 
     
       
      0.55
     
   | 
|
| Black-Scholes | 34.21 sec | 3389.63 | 
     
      2021.99
     
   | 
  Moptions/sec | 
     
       
      0.60
     
   | 
|
| Binomial | 28.34 sec | 79377.62 | 
     
      37112.78
     
   | 
  options/sec | 
     
       
      0.47
     
   | 
|
| Poisson | Nov 19, 2024, 2:03:28 PM PST | 
                         
                             1.32
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.26 sec | 16.05 | 
     
      5.38
     
   | 
  iterations/sec | 
     
       
      0.34
     
   | 
|
| Jacobi Rectangular Grid | 10.10 sec | 16.05 | 
     
      22.14
     
   | 
  iterations/sec | 
     
       
      1.38
     
   | 
|
| Jacobi Square Grid | 10.32 sec | 6.19 | 
     
      3.98
     
   | 
  iterations/sec | 
     
       
      0.64
     
   | 
|
| Jacobi Square Grid | 10.18 sec | 6.19 | 
     
      7.88
     
   | 
  iterations/sec | 
     
       
      1.27
     
   | 
|
| Python 3 | Nov 19, 2024, 2:04:09 PM PST | 
                         
                             0.70
                         
                     | 
                ||||
| NumPy Create Matrix | 1.50 sec | 0.36 | 
     
      0.43
     
   | 
  sec | 
     
       
      0.84
     
   | 
|
| NumPy Add Matrix | 5.95 sec | 4.44 | 
     
      4.94
     
   | 
  sec | 
     
       
      0.90
     
   | 
|
| NumPy Multiply Matrix | 13.36 sec | 8.06 | 
     
      12.32
     
   | 
  sec | 
     
       
      0.65
     
   | 
|
| NumPy Invert Matrix | 22.45 sec | 15.53 | 
     
      21.42
     
   | 
  sec | 
     
       
      0.72
     
   | 
|
| NumPy Sin Matrix | 4.16 sec | 2.67 | 
     
      3.19
     
   | 
  sec | 
     
       
      0.84
     
   | 
|
| Multi-Matrix | 104.99 sec | 65.50 | 
     
      103.92
     
   | 
  sec | 
     
       
      0.63
     
   | 
|
| Rodinia CFD | Nov 19, 2024, 2:06:52 PM PST | 
                         
                             0.68
                         
                     | 
                ||||
| Pre-Euler | 33.54 sec | 138.14 | 
     
      93.70
     
   | 
  iterations/sec | 
     
       
      0.68
     
   | 
|
| Rodinia Life Sciences | Nov 19, 2024, 2:07:26 PM PST | 
                         
                             0.65
                         
                     | 
                ||||
| Heart Wall | 10.87 sec | 0.69 | 
     
      0.56
     
   | 
  fps | 
     
       
      0.81
     
   | 
|
| HotSpot | 17.89 sec | 8.55 | 
     
      16.61
     
   | 
  sec | 
     
       
      0.52
     
   | 
|
| LavaMD | 20.49 sec | 0.07 | 
     
      0.05
     
   | 
  iterations/sec | 
     
       
      0.71
     
   | 
|
| SRAD | 10.30 sec | 47.04 | 
     
      27.77
     
   | 
  iterations/sec | 
     
       
      0.59
     
   | 
|
| SRMP | Nov 19, 2024, 2:08:26 PM PST | 
                         
                             0.53
                         
                     | 
                ||||
| 2D | 37.01 sec | 19.45 | 
     
      36.50
     
   | 
  sec | 
     
       
      0.53
     
   | 
|
| Viewport Graphics | Nov 19, 2024, 2:09:03 PM PST | 
                         
                             2.68
                         
                     | 
                ||||
| 3dsmax | 147.89 sec | 15.96 | 
     
      43.51
     
   | 
  fps | 
     
       
      2.73
     
   | 
|
| catia | 138.31 sec | 17.57 | 
     
      36.60
     
   | 
  fps | 
     
       
      2.08
     
   | 
|
| creo | 153.70 sec | 48.42 | 
     
      87.20
     
   | 
  fps | 
     
       
      1.80
     
   | 
|
| energy | 94.98 sec | 11.48 | 
     
      38.02
     
   | 
  fps | 
     
       
      3.31
     
   | 
|
| maya | 124.03 sec | 62.09 | 
     
      151.80
     
   | 
  fps | 
     
       
      2.44
     
   | 
|
| medical | 90.12 sec | 9.63 | 
     
      42.30
     
   | 
  fps | 
     
       
      4.39
     
   | 
|
| solidworks | 90.64 sec | 42.90 | 
     
      118.40
     
   | 
  fps | 
     
       
      2.76
     
   | 
|
| WPCstorage | Nov 19, 2024, 2:24:45 PM PST | 
                         
                             1.15
                         
                     | 
                ||||
| 3dsmax | 54.06 sec | 3299.42 | 
     
      3991.21
     
   | 
  points | 
     
       
      1.21
     
   | 
|
| 7zip | 50.95 sec | 431.06 | 
     
      529.97
     
   | 
  points | 
     
       
      1.23
     
   | 
|
| ccx | 12.82 sec | 1398.45 | 
     
      1991.43
     
   | 
  points | 
     
       
      1.42
     
   | 
|
| cfd | 13.40 sec | 1921.51 | 
     
      1948.62
     
   | 
  points | 
     
       
      1.01
     
   | 
|
| energy | 21.72 sec | 1547.93 | 
     
      1646.60
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| handbrake | 16.76 sec | 1897.99 | 
     
      2275.99
     
   | 
  points | 
     
       
      1.20
     
   | 
|
| icePack | 55.27 sec | 1543.34 | 
     
      1921.01
     
   | 
  points | 
     
       
      1.24
     
   | 
|
| maya | 54.40 sec | 2037.06 | 
     
      2230.19
     
   | 
  points | 
     
       
      1.09
     
   | 
|
| MayaVenice | 32.81 sec | 472.63 | 
     
      490.37
     
   | 
  points | 
     
       
      1.04
     
   | 
|
| MandE | 20.82 sec | 1625.72 | 
     
      1507.49
     
   | 
  points | 
     
       
      0.93
     
   | 
|
| mcad | 56.52 sec | 2612.50 | 
     
      3832.65
     
   | 
  points | 
     
       
      1.47
     
   | 
|
| mozillaVS | 28.48 sec | 7708.43 | 
     
      11353.10
     
   | 
  points | 
     
       
      1.47
     
   | 
|
| namd | 17.68 sec | 1250.61 | 
     
      1337.24
     
   | 
  points | 
     
       
      1.07
     
   | 
|
| proddev | 20.77 sec | 659.82 | 
     
      562.23
     
   | 
  points | 
     
       
      0.85
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 0U401AModel: Precision 3590
Version: D00
Manufacturer: Dell Inc.
Serial Number: /WGNQP1V/910024030002DW/
BIOS: Dell Inc. 1.8.0
BIOS Version: DELL - 2 (2024-09-09)
      
      PROCESSOR
    
    CPU #1: Intel(R) Core(TM) Ultra 7 165H (1400MHz / 16C / 22T)
      
      MEMORY
    
    (DIMM 2): 80AD00000000 HMCG88AGBSA095N      (32.00 GB / 5600 MHz / DDR5)(DIMM 1): 80AD00000000 HMCG88AGBSA095N (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
      
      STORAGE
    
    Disk #1: NVMe PM9A1 NVMe Samsung 1024GB (953.86 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (950.77 GB)
Partition 3: GPT: Unknown (1.20 GB)
Partition 4: GPT: Unknown (1.56 GB)
Available Volumes
C: (OS): NTFS (578.69 GB of 950.77 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: 60:45:2E:24:A9:87 | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (18) I219-LM
Type: Ethernet 802.3 | MAC: 28:00:AF:AA:90:EA | Speed: Not Connected
Adapter #3: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 60:45:2E:24:A9:8B | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 500 Ada Generation Laptop GPUVideo Memory: 4.00 GB
Current Resolution: Unknown
Driver Version: 31.0.15.5274 (2024-06-23)
Adapter #2: Intel(R) Arc(TM) Graphics
Video Memory: 0.13 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 31.0.101.5382 (2024-03-26)
        
        DISPLAY
      
      Display #1: AUO Internal Display 15.3" (1920x1080)Model: 6092 | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
                
                BATTERY
              
            Battery #1 (Sys. Battery Bay): P/N: DELL 2X1V93A5 | Mfg: COMTROL CORPORATION | Charge Level: 100%
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4317 (Release 2009)
Installation Date: 2024-03-07
Free Memory: 53.36 GB (Physical) | 56.56 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)