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 7960 Tower | 
| CPU | Intel(R) Xeon(R) w9-3495X | 
| Memory | 256.00 GB @ 4400 MHz | 
| GPU | NVIDIA RTX 6000 Ada Generation | 
| Display | DELL P2815Q 27.8" (3840x2160) | 
          
| Storage | Drive 1: ST8000NM023B-2TJ133 7452.03 GB - SCSI Drive 2: NVMe PC801 NVMe SK hy 1907.73 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro for Workstations (22631) | 
Submission Details
| Result Date | Tue Nov 19 2024 17:29:36 GMT-0600 (Central Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          3.49 | 
Energy  | 
          4.53 | 
Financial Services  | 
          3.80 | 
Life Sciences  | 
          4.02 | 
Media & Entertainment  | 
          3.13 | 
Product Design  | 
          2.72 | 
Productivity & Development  | 
          1.36 | 
Hardware Subsystem Scores
| CPU | 2.94 | 
| Accelerator | 6.21 | 
| Graphics | 11.75 | 
| Storage | 0.74 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.53 | 
| Autodesk Inventor | 0.82 | 
| Blender | 3.56 | 
| Convolution | 4.56 | 
| Data Science | 1.90 | 
| HandBrake | 2.04 | 
| Hidden Line Removal | 1.36 | 
| LAMMPS | 4.42 | 
| LLVM Clang | 2.50 | 
| LuxCoreRender | 3.73 | 
| MFEM | 2.89 | 
| NAMD | 3.49 | 
| Octave | 0.90 | 
| ONNX Inference | 6.41 | 
| OpenFOAM | 22.70 | 
| Options Pricing | 3.80 | 
| Poisson | 6.83 | 
| Python 3 | 1.17 | 
| Rodinia CFD | 3.74 | 
| Rodinia Life Sciences | 4.35 | 
| SRMP | 2.97 | 
| Viewport Graphics | 11.80 | 
| WPCstorage | 0.74 | 
Industry Vertical Scores
| AI & Machine Learning | 3.49 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      134.76
     
   | 
  sec | 
     
       
      0.98
     
   | 
| Scikit-learn | 449.17 | 
     
      101.84
     
   | 
  sec | 
     
       
      4.41
     
   | 
| XGBoost | 91.50 | 
     
      57.66
     
   | 
  sec | 
     
       
      1.59
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      26.77
     
   | 
  ms | 
     
       
      2.38
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      92.12
     
   | 
  inferences/sec | 
     
       
      5.03
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      8.43
     
   | 
  ms | 
     
       
      2.65
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      256.90
     
   | 
  inferences/sec | 
     
       
      5.51
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      22.04
     
   | 
  ms | 
     
       
      2.65
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      129.78
     
   | 
  inferences/sec | 
     
       
      6.22
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      13.91
     
   | 
  ms | 
     
       
      1.53
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      264.75
     
   | 
  inferences/sec | 
     
       
      4.73
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      86.79
     
   | 
  inferences/sec | 
     
       
      22.10
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      147.05
     
   | 
  inferences/sec | 
     
       
      76.60
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      41.05
     
   | 
  inferences/sec | 
     
       
      6.23
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      42.22
     
   | 
  inferences/sec | 
     
       
      22.00
     
   | 
Industry Vertical Scores
| Energy | 4.53 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.41
     
   | 
  iterations/sec | 
     
       
      4.56
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      152.79
     
   | 
  iterations/sec | 
     
       
      9.52
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      30.36
     
   | 
  iterations/sec | 
     
       
      4.90
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      6.54
     
   | 
  sec | 
     
       
      2.97
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      316.66
     
   | 
  fps | 
     
       
      27.60
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1156.73
     
   | 
  points | 
     
       
      0.75
     
   | 
Industry Vertical Scores
| Financial Services | 3.80 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      154557.44
     
   | 
  options/sec | 
     
       
      4.40
     
   | 
| Black-Scholes | 3389.63 | 
     
      13535.91
     
   | 
  Moptions/sec | 
     
       
      3.99
     
   | 
| Binomial | 79377.62 | 
     
      248557.72
     
   | 
  options/sec | 
     
       
      3.13
     
   | 
Industry Vertical Scores
| Life Sciences | 4.02 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      3127.97
     
   | 
  tau/day | 
     
       
      4.43
     
   | 
| CHAIN | 1190.35 | 
     
      6510.28
     
   | 
  tau/day | 
     
       
      5.47
     
   | 
| EAM | 0.63 | 
     
      2.86
     
   | 
  ns/day | 
     
       
      4.55
     
   | 
| CHUTE | 38.25 | 
     
      167.87
     
   | 
  tau/day | 
     
       
      4.39
     
   | 
| RHODO | 0.26 | 
     
      0.91
     
   | 
  ns/day | 
     
       
      3.50
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      12.74
     
   | 
  ms/step | 
     
       
      3.56
     
   | 
| f1atpase | 130.50 | 
     
      40.08
     
   | 
  ms/step | 
     
       
      3.26
     
   | 
| stmv | 448.57 | 
     
      123.00
     
   | 
  ms/step | 
     
       
      3.65
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      3.60
     
   | 
  fps | 
     
       
      5.21
     
   | 
| HotSpot | 8.55 | 
     
      2.00
     
   | 
  sec | 
     
       
      4.28
     
   | 
| LavaMD | 0.07 | 
     
      0.28
     
   | 
  iterations/sec | 
     
       
      4.04
     
   | 
| SRAD | 47.04 | 
     
      186.21
     
   | 
  iterations/sec | 
     
       
      3.96
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      211.01
     
   | 
  fps | 
     
       
      21.90
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      896.89
     
   | 
  points | 
     
       
      0.72
     
   | 
Industry Vertical Scores
| Media & Entertainment | 3.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      23.97
     
   | 
  sec | 
     
       
      11.80
     
   | 
| BMW27 | 43.82 | 
     
      12.20
     
   | 
  sec | 
     
       
      3.59
     
   | 
| BMW1M | 17.74 | 
     
      5.59
     
   | 
  sec | 
     
       
      3.17
     
   | 
| Island | 29.68 | 
     
      25.05
     
   | 
  sec | 
     
       
      1.19
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      138.10
     
   | 
  sec | 
     
       
      1.41
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      26.12
     
   | 
  sec | 
     
       
      1.47
     
   | 
| x265 4K to 4K | 107.73 | 
     
      49.75
     
   | 
  sec | 
     
       
      2.17
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      9.68
     
   | 
  sec | 
     
       
      5.17
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      137.96
     
   | 
  fps | 
     
       
      0.81
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      489.78
     
   | 
  fps | 
     
       
      3.80
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      10.12
     
   | 
  Msamples/sec | 
     
       
      4.11
     
   | 
| Food | 1.84 | 
     
      7.50
     
   | 
  Msamples/sec | 
     
       
      4.08
     
   | 
| Danish Mood | 2.29 | 
     
      7.02
     
   | 
  Msamples/sec | 
     
       
      3.07
     
   | 
| Procedural Leaves | 1.10 | 
     
      4.11
     
   | 
  Msamples/sec | 
     
       
      3.74
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      308.73
     
   | 
  fps | 
     
       
      19.30
     
   | 
| maya | 62.09 | 
     
      517.98
     
   | 
  fps | 
     
       
      8.34
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      2975.50
     
   | 
  points | 
     
       
      0.90
     
   | 
| handbrake | 1897.99 | 
     
      1946.09
     
   | 
  points | 
     
       
      1.03
     
   | 
| maya | 2037.06 | 
     
      1690.10
     
   | 
  points | 
     
       
      0.83
     
   | 
| MayaVenice | 472.63 | 
     
      379.31
     
   | 
  points | 
     
       
      0.80
     
   | 
| MandE | 1625.72 | 
     
      1409.68
     
   | 
  points | 
     
       
      0.87
     
   | 
Industry Vertical Scores
| Product Design | 2.72 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5229.00
     
   | 
  ms | 
     
       
      0.81
     
   | 
| Create/Update Files | 4973.68 | 
     
      6217.00
     
   | 
  ms | 
     
       
      0.80
     
   | 
| Rebuild | 10590.28 | 
     
      12024.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Render Style/Material | 628.78 | 
     
      786.00
     
   | 
  ms | 
     
       
      0.80
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      33.00
     
   | 
  fps | 
     
       
      1.36
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      78.68
     
   | 
  sec | 
     
       
      2.89
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      35.37
     
   | 
  sec | 
     
       
      22.70
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      517.07
     
   | 
  iterations/sec | 
     
       
      3.74
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      134.17
     
   | 
  fps | 
     
       
      7.64
     
   | 
| creo | 48.42 | 
     
      139.12
     
   | 
  fps | 
     
       
      2.87
     
   | 
| solidworks | 42.90 | 
     
      620.44
     
   | 
  fps | 
     
       
      14.50
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      504.79
     
   | 
  points | 
     
       
      0.36
     
   | 
| cfd | 1921.51 | 
     
      774.72
     
   | 
  points | 
     
       
      0.40
     
   | 
| icePack | 1543.34 | 
     
      929.10
     
   | 
  points | 
     
       
      0.60
     
   | 
| mcad | 2612.50 | 
     
      2904.11
     
   | 
  points | 
     
       
      1.11
     
   | 
| proddev | 659.82 | 
     
      489.59
     
   | 
  points | 
     
       
      0.74
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.36 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      17.89
     
   | 
  sec | 
     
       
      0.90
     
   | 
| Compression | 254.57 | 
     
      40.00
     
   | 
  sec | 
     
       
      6.36
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      225.17
     
   | 
  sec | 
     
       
      2.50
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.29
     
   | 
  sec/operation | 
     
       
      0.93
     
   | 
| benchmark2 | 0.11 | 
     
      0.13
     
   | 
  sec/operation | 
     
       
      0.86
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.44
     
   | 
  sec | 
     
       
      0.82
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.41
     
   | 
  sec | 
     
       
      0.82
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.45
     
   | 
  sec | 
     
       
      1.25
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      12.08
     
   | 
  sec | 
     
       
      1.29
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.00
     
   | 
  sec | 
     
       
      0.89
     
   | 
| Multi-Matrix | 65.50 | 
     
      47.92
     
   | 
  sec | 
     
       
      1.37
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      385.45
     
   | 
  points | 
     
       
      0.89
     
   | 
| mozillaVS | 7708.43 | 
     
      5976.05
     
   | 
  points | 
     
       
      0.78
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            6.21
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      137.96
     
   | 
  fps | 
     
       
      0.81
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      489.78
     
   | 
  fps | 
     
       
      3.80
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      86.79
     
   | 
  inferences/sec | 
     
       
      22.10
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      147.05
     
   | 
  inferences/sec | 
     
       
      76.60
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      41.05
     
   | 
  inferences/sec | 
     
       
      6.23
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      42.22
     
   | 
  inferences/sec | 
     
       
      22.00
     
   | 
            2.94
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      17.89
     
   | 
  sec | 
     
       
      0.90
     
   | 
| Compression | 254.57 | 
     
      40.00
     
   | 
  sec | 
     
       
      6.36
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5229.00
     
   | 
  ms | 
     
       
      0.81
     
   | 
| Create/Update Files | 4973.68 | 
     
      6217.00
     
   | 
  ms | 
     
       
      0.80
     
   | 
| Rebuild | 10590.28 | 
     
      12024.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Render Style/Material | 628.78 | 
     
      786.00
     
   | 
  ms | 
     
       
      0.80
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      23.97
     
   | 
  sec | 
     
       
      11.80
     
   | 
| BMW27 | 43.82 | 
     
      12.20
     
   | 
  sec | 
     
       
      3.59
     
   | 
| BMW1M | 17.74 | 
     
      5.59
     
   | 
  sec | 
     
       
      3.17
     
   | 
| Island | 29.68 | 
     
      25.05
     
   | 
  sec | 
     
       
      1.19
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.41
     
   | 
  iterations/sec | 
     
       
      4.56
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      134.76
     
   | 
  sec | 
     
       
      0.98
     
   | 
| Scikit-learn | 449.17 | 
     
      101.84
     
   | 
  sec | 
     
       
      4.41
     
   | 
| XGBoost | 91.50 | 
     
      57.66
     
   | 
  sec | 
     
       
      1.59
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      138.10
     
   | 
  sec | 
     
       
      1.41
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      26.12
     
   | 
  sec | 
     
       
      1.47
     
   | 
| x265 4K to 4K | 107.73 | 
     
      49.75
     
   | 
  sec | 
     
       
      2.17
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      9.68
     
   | 
  sec | 
     
       
      5.17
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      33.00
     
   | 
  fps | 
     
       
      1.36
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      3127.97
     
   | 
  tau/day | 
     
       
      4.43
     
   | 
| CHAIN | 1190.35 | 
     
      6510.28
     
   | 
  tau/day | 
     
       
      5.47
     
   | 
| EAM | 0.63 | 
     
      2.86
     
   | 
  ns/day | 
     
       
      4.55
     
   | 
| CHUTE | 38.25 | 
     
      167.87
     
   | 
  tau/day | 
     
       
      4.39
     
   | 
| RHODO | 0.26 | 
     
      0.91
     
   | 
  ns/day | 
     
       
      3.50
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      225.17
     
   | 
  sec | 
     
       
      2.50
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      10.12
     
   | 
  Msamples/sec | 
     
       
      4.11
     
   | 
| Food | 1.84 | 
     
      7.50
     
   | 
  Msamples/sec | 
     
       
      4.08
     
   | 
| Danish Mood | 2.29 | 
     
      7.02
     
   | 
  Msamples/sec | 
     
       
      3.07
     
   | 
| Procedural Leaves | 1.10 | 
     
      4.11
     
   | 
  Msamples/sec | 
     
       
      3.74
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      78.68
     
   | 
  sec | 
     
       
      2.89
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      12.74
     
   | 
  ms/step | 
     
       
      3.56
     
   | 
| f1atpase | 130.50 | 
     
      40.08
     
   | 
  ms/step | 
     
       
      3.26
     
   | 
| stmv | 448.57 | 
     
      123.00
     
   | 
  ms/step | 
     
       
      3.65
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.29
     
   | 
  sec/operation | 
     
       
      0.93
     
   | 
| benchmark2 | 0.11 | 
     
      0.13
     
   | 
  sec/operation | 
     
       
      0.86
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      26.77
     
   | 
  ms | 
     
       
      2.38
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      92.12
     
   | 
  inferences/sec | 
     
       
      5.03
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      8.43
     
   | 
  ms | 
     
       
      2.65
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      256.90
     
   | 
  inferences/sec | 
     
       
      5.51
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      22.04
     
   | 
  ms | 
     
       
      2.65
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      129.78
     
   | 
  inferences/sec | 
     
       
      6.22
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      13.91
     
   | 
  ms | 
     
       
      1.53
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      264.75
     
   | 
  inferences/sec | 
     
       
      4.73
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      35.37
     
   | 
  sec | 
     
       
      22.70
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      154557.44
     
   | 
  options/sec | 
     
       
      4.40
     
   | 
| Black-Scholes | 3389.63 | 
     
      13535.91
     
   | 
  Moptions/sec | 
     
       
      3.99
     
   | 
| Binomial | 79377.62 | 
     
      248557.72
     
   | 
  options/sec | 
     
       
      3.13
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      152.79
     
   | 
  iterations/sec | 
     
       
      9.52
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      30.36
     
   | 
  iterations/sec | 
     
       
      4.90
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.44
     
   | 
  sec | 
     
       
      0.82
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.41
     
   | 
  sec | 
     
       
      0.82
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.45
     
   | 
  sec | 
     
       
      1.25
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      12.08
     
   | 
  sec | 
     
       
      1.29
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.00
     
   | 
  sec | 
     
       
      0.89
     
   | 
| Multi-Matrix | 65.50 | 
     
      47.92
     
   | 
  sec | 
     
       
      1.37
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      517.07
     
   | 
  iterations/sec | 
     
       
      3.74
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      3.60
     
   | 
  fps | 
     
       
      5.21
     
   | 
| HotSpot | 8.55 | 
     
      2.00
     
   | 
  sec | 
     
       
      4.28
     
   | 
| LavaMD | 0.07 | 
     
      0.28
     
   | 
  iterations/sec | 
     
       
      4.04
     
   | 
| SRAD | 47.04 | 
     
      186.21
     
   | 
  iterations/sec | 
     
       
      3.96
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      6.54
     
   | 
  sec | 
     
       
      2.97
     
   | 
            11.75
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      308.73
     
   | 
  fps | 
     
       
      19.30
     
   | 
| catia | 17.57 | 
     
      134.17
     
   | 
  fps | 
     
       
      7.64
     
   | 
| creo | 48.42 | 
     
      139.12
     
   | 
  fps | 
     
       
      2.87
     
   | 
| energy | 11.48 | 
     
      316.66
     
   | 
  fps | 
     
       
      27.60
     
   | 
| maya | 62.09 | 
     
      517.98
     
   | 
  fps | 
     
       
      8.34
     
   | 
| medical | 9.63 | 
     
      211.01
     
   | 
  fps | 
     
       
      21.90
     
   | 
| solidworks | 42.90 | 
     
      620.44
     
   | 
  fps | 
     
       
      14.50
     
   | 
            0.74
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      2975.50
     
   | 
  points | 
     
       
      0.90
     
   | 
| 7zip | 431.06 | 
     
      385.45
     
   | 
  points | 
     
       
      0.89
     
   | 
| ccx | 1398.45 | 
     
      504.79
     
   | 
  points | 
     
       
      0.36
     
   | 
| cfd | 1921.51 | 
     
      774.72
     
   | 
  points | 
     
       
      0.40
     
   | 
| energy | 1547.93 | 
     
      1156.73
     
   | 
  points | 
     
       
      0.75
     
   | 
| handbrake | 1897.99 | 
     
      1946.09
     
   | 
  points | 
     
       
      1.03
     
   | 
| icePack | 1543.34 | 
     
      929.10
     
   | 
  points | 
     
       
      0.60
     
   | 
| maya | 2037.06 | 
     
      1690.10
     
   | 
  points | 
     
       
      0.83
     
   | 
| MayaVenice | 472.63 | 
     
      379.31
     
   | 
  points | 
     
       
      0.80
     
   | 
| MandE | 1625.72 | 
     
      1409.68
     
   | 
  points | 
     
       
      0.87
     
   | 
| mcad | 2612.50 | 
     
      2904.11
     
   | 
  points | 
     
       
      1.11
     
   | 
| mozillaVS | 7708.43 | 
     
      5976.05
     
   | 
  points | 
     
       
      0.78
     
   | 
| namd | 1250.61 | 
     
      896.89
     
   | 
  points | 
     
       
      0.72
     
   | 
| proddev | 659.82 | 
     
      489.59
     
   | 
  points | 
     
       
      0.74
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2024, 5:29:36 PM CST | 
                         
                             3.53
                         
                     | 
                ||||
| Decompression | 17.89 sec | 16.04 | 
     
      17.89
     
   | 
  sec | 
     
       
      0.90
     
   | 
|
| Compression | 40.00 sec | 254.57 | 
     
      40.00
     
   | 
  sec | 
     
       
      6.36
     
   | 
|
| Autodesk Inventor | Nov 19, 2024, 5:30:39 PM CST | 
                         
                             0.82
                         
                     | 
                ||||
| Open Document | 5.52 sec | 4253.73 | 
     
      5229.00
     
   | 
  ms | 
     
       
      0.81
     
   | 
|
| Create/Update Files | 8.19 sec | 4973.68 | 
     
      6217.00
     
   | 
  ms | 
     
       
      0.80
     
   | 
|
| Rebuild | 12.31 sec | 10590.28 | 
     
      12024.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
|
| Render Style/Material | 1.07 sec | 628.78 | 
     
      786.00
     
   | 
  ms | 
     
       
      0.80
     
   | 
|
| Blender | Nov 19, 2024, 5:31:35 PM CST | 
                         
                             3.56
                         
                     | 
                ||||
| Classroom | 23.97 sec | 281.72 | 
     
      23.97
     
   | 
  sec | 
     
       
      11.80
     
   | 
|
| BMW27 | 12.20 sec | 43.82 | 
     
      12.20
     
   | 
  sec | 
     
       
      3.59
     
   | 
|
| BMW1M | 5.59 sec | 17.74 | 
     
      5.59
     
   | 
  sec | 
     
       
      3.17
     
   | 
|
| Island | 25.05 sec | 29.68 | 
     
      25.05
     
   | 
  sec | 
     
       
      1.19
     
   | 
|
| Convolution | Nov 19, 2024, 5:32:47 PM CST | 
                         
                             4.56
                         
                     | 
                ||||
| 20K/100 | 33.61 sec | 0.09 | 
     
      0.41
     
   | 
  iterations/sec | 
     
       
      4.56
     
   | 
|
| Data Science | Nov 19, 2024, 5:33:20 PM CST | 
                         
                             1.90
                         
                     | 
                ||||
| Pandas | 138.84 sec | 131.99 | 
     
      134.76
     
   | 
  sec | 
     
       
      0.98
     
   | 
|
| Scikit-learn | 106.90 sec | 449.17 | 
     
      101.84
     
   | 
  sec | 
     
       
      4.41
     
   | 
|
| XGBoost | 81.59 sec | 91.50 | 
     
      57.66
     
   | 
  sec | 
     
       
      1.59
     
   | 
|
| HandBrake | Nov 19, 2024, 5:39:05 PM CST | 
                         
                             2.04
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 138.10 sec | 195.16 | 
     
      138.10
     
   | 
  sec | 
     
       
      1.41
     
   | 
|
| x265 4K to 1080p | 27.74 sec | 38.36 | 
     
      26.12
     
   | 
  sec | 
     
       
      1.47
     
   | 
|
| x265 4K to 4K | 51.51 sec | 107.73 | 
     
      49.75
     
   | 
  sec | 
     
       
      2.17
     
   | 
|
| x264 1080p to 1080p | 9.68 sec | 49.98 | 
     
      9.68
     
   | 
  sec | 
     
       
      5.17
     
   | 
|
| GPU H.265 4K to 4K | 58.45 sec | 169.65 | 
     
      137.96
     
   | 
  fps | 
     
       
      0.81
     
   | 
|
| GPU H.265 4K to 1080p | 212.90 sec | 128.84 | 
     
      489.78
     
   | 
  fps | 
     
       
      3.80
     
   | 
|
| Hidden Line Removal | Nov 19, 2024, 5:47:31 PM CST | 
                         
                             1.36
                         
                     | 
                ||||
| Palatov | 18.14 sec | 24.29 | 
     
      31.27
     
   | 
  fps | 
     
       
      1.29
     
   | 
|
| Palatov | 18.50 sec | 24.29 | 
     
      33.00
     
   | 
  fps | 
     
       
      1.36
     
   | 
|
| LAMMPS | Nov 19, 2024, 5:48:09 PM CST | 
                         
                             4.42
                         
                     | 
                ||||
| LJ | 7.92 sec | 705.82 | 
     
      3127.97
     
   | 
  tau/day | 
     
       
      4.43
     
   | 
|
| CHAIN | 8.01 sec | 1190.35 | 
     
      6510.28
     
   | 
  tau/day | 
     
       
      5.47
     
   | 
|
| EAM | 7.14 sec | 0.63 | 
     
      2.86
     
   | 
  ns/day | 
     
       
      4.55
     
   | 
|
| CHUTE | 5.42 sec | 38.25 | 
     
      167.87
     
   | 
  tau/day | 
     
       
      4.39
     
   | 
|
| RHODO | 6.66 sec | 0.26 | 
     
      0.91
     
   | 
  ns/day | 
     
       
      3.50
     
   | 
|
| LLVM Clang | Nov 19, 2024, 5:48:44 PM CST | 
                         
                             2.50
                         
                     | 
                ||||
| PyTorch | 249.90 sec | 562.76 | 
     
      225.17
     
   | 
  sec | 
     
       
      2.50
     
   | 
|
| LuxCoreRender | Nov 19, 2024, 5:54:04 PM CST | 
                         
                             3.73
                         
                     | 
                ||||
| DLSC | 6.89 sec | 2.46 | 
     
      10.12
     
   | 
  Msamples/sec | 
     
       
      4.11
     
   | 
|
| Food | 12.47 sec | 1.84 | 
     
      7.50
     
   | 
  Msamples/sec | 
     
       
      4.08
     
   | 
|
| Danish Mood | 23.32 sec | 2.29 | 
     
      7.02
     
   | 
  Msamples/sec | 
     
       
      3.07
     
   | 
|
| Procedural Leaves | 14.31 sec | 1.10 | 
     
      4.11
     
   | 
  Msamples/sec | 
     
       
      3.74
     
   | 
|
| MFEM | Nov 19, 2024, 5:55:02 PM CST | 
                         
                             2.89
                         
                     | 
                ||||
| Dynamic AMR | 78.68 sec | 227.39 | 
     
      78.68
     
   | 
  sec | 
     
       
      2.89
     
   | 
|
| NAMD | Nov 19, 2024, 5:56:21 PM CST | 
                         
                             3.49
                         
                     | 
                ||||
| apoa1 | 11.11 sec | 45.38 | 
     
      12.74
     
   | 
  ms/step | 
     
       
      3.56
     
   | 
|
| f1atpase | 23.39 sec | 130.50 | 
     
      40.08
     
   | 
  ms/step | 
     
       
      3.26
     
   | 
|
| stmv | 38.87 sec | 448.57 | 
     
      123.00
     
   | 
  ms/step | 
     
       
      3.65
     
   | 
|
| Octave | Nov 19, 2024, 5:57:34 PM CST | 
                         
                             0.90
                         
                     | 
                ||||
| obench | 35.33 sec | 1.20 | 
     
      1.29
     
   | 
  sec/operation | 
     
       
      0.93
     
   | 
|
| benchmark2 | 11.77 sec | 0.11 | 
     
      0.13
     
   | 
  sec/operation | 
     
       
      0.86
     
   | 
|
| ONNX Inference | Nov 19, 2024, 5:58:34 PM CST | 
                         
                             6.41
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.44 sec | 63.72 | 
     
      26.77
     
   | 
  ms | 
     
       
      2.38
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.55 sec | 18.33 | 
     
      92.12
     
   | 
  inferences/sec | 
     
       
      5.03
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.16 sec | 18.33 | 
     
      64.25
     
   | 
  inferences/sec | 
     
       
      3.51
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.19 sec | 22.37 | 
     
      8.43
     
   | 
  ms | 
     
       
      2.65
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.65 sec | 46.62 | 
     
      256.90
     
   | 
  inferences/sec | 
     
       
      5.51
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.78 sec | 46.62 | 
     
      225.16
     
   | 
  inferences/sec | 
     
       
      4.83
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 | 
     
      22.04
     
   | 
  ms | 
     
       
      2.65
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.26 sec | 20.87 | 
     
      129.78
     
   | 
  inferences/sec | 
     
       
      6.22
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.81 sec | 20.87 | 
     
      86.15
     
   | 
  inferences/sec | 
     
       
      4.13
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.13 sec | 21.34 | 
     
      13.91
     
   | 
  ms | 
     
       
      1.53
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.71 sec | 55.92 | 
     
      264.75
     
   | 
  inferences/sec | 
     
       
      4.73
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.86 sec | 55.92 | 
     
      190.29
     
   | 
  inferences/sec | 
     
       
      3.40
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.98 sec | 3.92 | 
     
      86.79
     
   | 
  inferences/sec | 
     
       
      22.10
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.73 sec | 1.92 | 
     
      147.05
     
   | 
  inferences/sec | 
     
       
      76.60
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 22.01 sec | 6.59 | 
     
      41.05
     
   | 
  inferences/sec | 
     
       
      6.23
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.97 sec | 1.92 | 
     
      42.22
     
   | 
  inferences/sec | 
     
       
      22.00
     
   | 
|
| OpenFOAM | Nov 19, 2024, 6:04:12 PM CST | 
                         
                             22.70
                         
                     | 
                ||||
| XiFoam Solver | 113.80 sec | 803.27 | 
     
      95.28
     
   | 
  sec | 
     
       
      8.43
     
   | 
|
| XiFoam Solver | 48.48 sec | 803.27 | 
     
      35.37
     
   | 
  sec | 
     
       
      22.70
     
   | 
|
| Options Pricing | Nov 19, 2024, 6:06:59 PM CST | 
                         
                             3.80
                         
                     | 
                ||||
| Monte Carlo | 6.89 sec | 35137.48 | 
     
      154557.44
     
   | 
  options/sec | 
     
       
      4.40
     
   | 
|
| Black-Scholes | 6.60 sec | 3389.63 | 
     
      13535.91
     
   | 
  Moptions/sec | 
     
       
      3.99
     
   | 
|
| Binomial | 4.30 sec | 79377.62 | 
     
      248557.72
     
   | 
  options/sec | 
     
       
      3.13
     
   | 
|
| Poisson | Nov 19, 2024, 6:07:16 PM CST | 
                         
                             6.83
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.11 sec | 16.05 | 
     
      152.79
     
   | 
  iterations/sec | 
     
       
      9.52
     
   | 
|
| Jacobi Rectangular Grid | 10.06 sec | 16.05 | 
     
      141.71
     
   | 
  iterations/sec | 
     
       
      8.83
     
   | 
|
| Jacobi Square Grid | 10.17 sec | 6.19 | 
     
      28.59
     
   | 
  iterations/sec | 
     
       
      4.62
     
   | 
|
| Jacobi Square Grid | 10.11 sec | 6.19 | 
     
      30.36
     
   | 
  iterations/sec | 
     
       
      4.90
     
   | 
|
| Python 3 | Nov 19, 2024, 6:07:57 PM CST | 
                         
                             1.17
                         
                     | 
                ||||
| NumPy Create Matrix | 1.51 sec | 0.36 | 
     
      0.44
     
   | 
  sec | 
     
       
      0.82
     
   | 
|
| NumPy Add Matrix | 6.37 sec | 4.44 | 
     
      5.41
     
   | 
  sec | 
     
       
      0.82
     
   | 
|
| NumPy Multiply Matrix | 7.42 sec | 8.06 | 
     
      6.45
     
   | 
  sec | 
     
       
      1.25
     
   | 
|
| NumPy Invert Matrix | 13.06 sec | 15.53 | 
     
      12.08
     
   | 
  sec | 
     
       
      1.29
     
   | 
|
| NumPy Sin Matrix | 3.96 sec | 2.67 | 
     
      3.00
     
   | 
  sec | 
     
       
      0.89
     
   | 
|
| Multi-Matrix | 49.76 sec | 65.50 | 
     
      47.92
     
   | 
  sec | 
     
       
      1.37
     
   | 
|
| Rodinia CFD | Nov 19, 2024, 6:09:29 PM CST | 
                         
                             3.74
                         
                     | 
                ||||
| Pre-Euler | 33.49 sec | 138.14 | 
     
      517.07
     
   | 
  iterations/sec | 
     
       
      3.74
     
   | 
|
| Rodinia Life Sciences | Nov 19, 2024, 6:10:03 PM CST | 
                         
                             4.35
                         
                     | 
                ||||
| Heart Wall | 10.54 sec | 0.69 | 
     
      3.60
     
   | 
  fps | 
     
       
      5.21
     
   | 
|
| HotSpot | 3.25 sec | 8.55 | 
     
      2.00
     
   | 
  sec | 
     
       
      4.28
     
   | 
|
| LavaMD | 11.03 sec | 0.07 | 
     
      0.28
     
   | 
  iterations/sec | 
     
       
      4.04
     
   | 
|
| SRAD | 10.32 sec | 47.04 | 
     
      186.21
     
   | 
  iterations/sec | 
     
       
      3.96
     
   | 
|
| SRMP | Nov 19, 2024, 6:10:39 PM CST | 
                         
                             2.97
                         
                     | 
                ||||
| 2D | 7.38 sec | 19.45 | 
     
      6.54
     
   | 
  sec | 
     
       
      2.97
     
   | 
|
| Viewport Graphics | Nov 19, 2024, 6:10:46 PM CST | 
                         
                             11.80
                         
                     | 
                ||||
| 3dsmax | 121.96 sec | 15.96 | 
     
      308.73
     
   | 
  fps | 
     
       
      19.30
     
   | 
|
| catia | 119.45 sec | 17.57 | 
     
      134.17
     
   | 
  fps | 
     
       
      7.64
     
   | 
|
| creo | 177.84 sec | 48.42 | 
     
      139.12
     
   | 
  fps | 
     
       
      2.87
     
   | 
|
| energy | 99.87 sec | 11.48 | 
     
      316.66
     
   | 
  fps | 
     
       
      27.60
     
   | 
|
| maya | 92.68 sec | 62.09 | 
     
      517.98
     
   | 
  fps | 
     
       
      8.34
     
   | 
|
| medical | 74.07 sec | 9.63 | 
     
      211.01
     
   | 
  fps | 
     
       
      21.90
     
   | 
|
| solidworks | 68.03 sec | 42.90 | 
     
      620.44
     
   | 
  fps | 
     
       
      14.50
     
   | 
|
| WPCstorage | Nov 19, 2024, 6:24:33 PM CST | 
                         
                             0.74
                         
                     | 
                ||||
| 3dsmax | 64.07 sec | 3299.42 | 
     
      2975.50
     
   | 
  points | 
     
       
      0.90
     
   | 
|
| 7zip | 64.13 sec | 431.06 | 
     
      385.45
     
   | 
  points | 
     
       
      0.89
     
   | 
|
| ccx | 13.15 sec | 1398.45 | 
     
      504.79
     
   | 
  points | 
     
       
      0.36
     
   | 
|
| cfd | 14.58 sec | 1921.51 | 
     
      774.72
     
   | 
  points | 
     
       
      0.40
     
   | 
|
| energy | 24.26 sec | 1547.93 | 
     
      1156.73
     
   | 
  points | 
     
       
      0.75
     
   | 
|
| handbrake | 17.04 sec | 1897.99 | 
     
      1946.09
     
   | 
  points | 
     
       
      1.03
     
   | 
|
| icePack | 79.28 sec | 1543.34 | 
     
      929.10
     
   | 
  points | 
     
       
      0.60
     
   | 
|
| maya | 65.85 sec | 2037.06 | 
     
      1690.10
     
   | 
  points | 
     
       
      0.83
     
   | 
|
| MayaVenice | 38.84 sec | 472.63 | 
     
      379.31
     
   | 
  points | 
     
       
      0.80
     
   | 
|
| MandE | 23.49 sec | 1625.72 | 
     
      1409.68
     
   | 
  points | 
     
       
      0.87
     
   | 
|
| mcad | 67.36 sec | 2612.50 | 
     
      2904.11
     
   | 
  points | 
     
       
      1.11
     
   | 
|
| mozillaVS | 33.85 sec | 7708.43 | 
     
      5976.05
     
   | 
  points | 
     
       
      0.78
     
   | 
|
| namd | 20.05 sec | 1250.61 | 
     
      896.89
     
   | 
  points | 
     
       
      0.72
     
   | 
|
| proddev | 21.58 sec | 659.82 | 
     
      489.59
     
   | 
  points | 
     
       
      0.74
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 01G0M6Model: Precision 7960 Tower
Version: A02
Manufacturer: Dell Inc.
Serial Number: /JMTX624/CNFCW003BB0005/
BIOS: Dell Inc. 2.4.1
BIOS Version: INTEL - 0 (2024-09-11)
      
      PROCESSOR
    
    CPU #1: Intel(R) Xeon(R) w9-3495X (1896MHz / 56C / 112T)
      
      MEMORY
    
      (DIMM1): Micron Technology MTC10F1084S1RC48BA1            (16.00 GB / 4400 MHz / DDR5)(DIMM9): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM7): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM15): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM3): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM11): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM5): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM13): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM4): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM12): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM6): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM14): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM2): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM10): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM8): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM16): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
Total Memory: 256.00 GB
      
      STORAGE
    
    Disk #1: ST8000NM023B-2TJ133 (7452.03 GB - SCSI)Partition 1: GPT: Basic Data (7451.91 GB)
Disk #2: NVMe PC801 NVMe SK hy (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 (1149.20 GB of 1904.67 GB Available)
D: (DATA): NTFS (7451.58 GB of 7451.91 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 00:4E:01:FD:9A:86 | Speed: Not Connected
Adapter #2: Marvell AQtion 10Gbit Network Adapter
Type: Ethernet 802.3 | MAC: 00:4E:01:FD:9A:87 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 6000 Ada GenerationVideo Memory: 47.99 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 32.0.15.5612 (2024-06-24)
        
        DISPLAY
      
      Display #1: DELL INC. DELL P2815Q 27.8" (3840x2160)Model: F05A | S/N: WJJGR41LADFM | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-05-23
Free Memory: 242.64 GB (Physical) | 257.20 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)