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 | HP | 
| Model | HP Z6 G5 A Workstation Desktop PC | 
| CPU | AMD Ryzen Threadripper PRO 7975WX 32-Cores | 
| Memory | 128.00 GB @ 5200 MHz | 
| GPU | NVIDIA RTX 5000 Ada Generation | 
| Display | HP Z27k G3 27.2" (3840x2160) | 
          
| Storage | Drive 1: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI Drive 2: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (22631) | 
Submission Details
| Result Date | Thu Nov 21 2024 13:48:10 GMT-0700 (Mountain Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          3.26 | 
Energy  | 
          4.35 | 
Financial Services  | 
          4.17 | 
Life Sciences  | 
          4.13 | 
Media & Entertainment  | 
          3.34 | 
Product Design  | 
          3.13 | 
Productivity & Development  | 
          1.76 | 
Hardware Subsystem Scores
| CPU | 3.08 | 
| Accelerator | 6.17 | 
| Graphics | 12.08 | 
| Storage | 1.05 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 4.09 | 
| Autodesk Inventor | 0.98 | 
| Blender | 3.63 | 
| Convolution | 3.42 | 
| Data Science | 1.94 | 
| HandBrake | 2.49 | 
| Hidden Line Removal | 2.08 | 
| LAMMPS | 4.27 | 
| LLVM Clang | 3.09 | 
| LuxCoreRender | 3.62 | 
| MFEM | 3.33 | 
| NAMD | 3.41 | 
| Octave | 1.20 | 
| ONNX Inference | 5.48 | 
| OpenFOAM | 22.20 | 
| Options Pricing | 4.17 | 
| Poisson | 7.38 | 
| Python 3 | 1.61 | 
| Rodinia CFD | 2.31 | 
| Rodinia Life Sciences | 3.82 | 
| SRMP | 3.17 | 
| Viewport Graphics | 12.10 | 
| WPCstorage | 1.05 | 
Industry Vertical Scores
| AI & Machine Learning | 3.26 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      119.50
     
   | 
  sec | 
     
       
      1.10
     
   | 
| Scikit-learn | 449.17 | 
     
      109.64
     
   | 
  sec | 
     
       
      4.10
     
   | 
| XGBoost | 91.50 | 
     
      56.64
     
   | 
  sec | 
     
       
      1.62
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      22.00
     
   | 
  ms | 
     
       
      2.90
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      64.45
     
   | 
  inferences/sec | 
     
       
      3.52
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      10.42
     
   | 
  ms | 
     
       
      2.15
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      205.06
     
   | 
  inferences/sec | 
     
       
      4.40
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      37.62
     
   | 
  ms | 
     
       
      1.55
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      86.34
     
   | 
  inferences/sec | 
     
       
      4.14
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      19.44
     
   | 
  ms | 
     
       
      1.10
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      237.78
     
   | 
  inferences/sec | 
     
       
      4.25
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      64.84
     
   | 
  inferences/sec | 
     
       
      16.50
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      127.68
     
   | 
  inferences/sec | 
     
       
      66.50
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      48.16
     
   | 
  inferences/sec | 
     
       
      7.31
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      60.34
     
   | 
  inferences/sec | 
     
       
      31.40
     
   | 
Industry Vertical Scores
| Energy | 4.35 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.31
     
   | 
  iterations/sec | 
     
       
      3.42
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      160.82
     
   | 
  iterations/sec | 
     
       
      10.00
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      33.74
     
   | 
  iterations/sec | 
     
       
      5.45
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      6.13
     
   | 
  sec | 
     
       
      3.17
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      257.75
     
   | 
  fps | 
     
       
      22.50
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1338.30
     
   | 
  points | 
     
       
      0.86
     
   | 
Industry Vertical Scores
| Financial Services | 4.17 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      159299.12
     
   | 
  options/sec | 
     
       
      4.53
     
   | 
| Black-Scholes | 3389.63 | 
     
      15555.17
     
   | 
  Moptions/sec | 
     
       
      4.59
     
   | 
| Binomial | 79377.62 | 
     
      276315.36
     
   | 
  options/sec | 
     
       
      3.48
     
   | 
Industry Vertical Scores
| Life Sciences | 4.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      3115.29
     
   | 
  tau/day | 
     
       
      4.41
     
   | 
| CHAIN | 1190.35 | 
     
      5806.69
     
   | 
  tau/day | 
     
       
      4.88
     
   | 
| EAM | 0.63 | 
     
      2.63
     
   | 
  ns/day | 
     
       
      4.17
     
   | 
| CHUTE | 38.25 | 
     
      157.45
     
   | 
  tau/day | 
     
       
      4.12
     
   | 
| RHODO | 0.26 | 
     
      1.00
     
   | 
  ns/day | 
     
       
      3.84
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      13.71
     
   | 
  ms/step | 
     
       
      3.31
     
   | 
| f1atpase | 130.50 | 
     
      38.96
     
   | 
  ms/step | 
     
       
      3.35
     
   | 
| stmv | 448.57 | 
     
      124.94
     
   | 
  ms/step | 
     
       
      3.59
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      2.48
     
   | 
  fps | 
     
       
      3.60
     
   | 
| HotSpot | 8.55 | 
     
      2.83
     
   | 
  sec | 
     
       
      3.02
     
   | 
| LavaMD | 0.07 | 
     
      0.29
     
   | 
  iterations/sec | 
     
       
      4.21
     
   | 
| SRAD | 47.04 | 
     
      217.67
     
   | 
  iterations/sec | 
     
       
      4.63
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      199.19
     
   | 
  fps | 
     
       
      20.70
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1295.12
     
   | 
  points | 
     
       
      1.04
     
   | 
Industry Vertical Scores
| Media & Entertainment | 3.34 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      25.28
     
   | 
  sec | 
     
       
      11.10
     
   | 
| BMW27 | 43.82 | 
     
      13.02
     
   | 
  sec | 
     
       
      3.36
     
   | 
| BMW1M | 17.74 | 
     
      5.16
     
   | 
  sec | 
     
       
      3.44
     
   | 
| Island | 29.68 | 
     
      21.80
     
   | 
  sec | 
     
       
      1.36
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      92.09
     
   | 
  sec | 
     
       
      2.12
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      18.39
     
   | 
  sec | 
     
       
      2.09
     
   | 
| x265 4K to 4K | 107.73 | 
     
      40.31
     
   | 
  sec | 
     
       
      2.67
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      7.26
     
   | 
  sec | 
     
       
      6.88
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      133.86
     
   | 
  fps | 
     
       
      0.79
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      473.43
     
   | 
  fps | 
     
       
      3.67
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      9.31
     
   | 
  Msamples/sec | 
     
       
      3.78
     
   | 
| Food | 1.84 | 
     
      7.20
     
   | 
  Msamples/sec | 
     
       
      3.91
     
   | 
| Danish Mood | 2.29 | 
     
      7.15
     
   | 
  Msamples/sec | 
     
       
      3.12
     
   | 
| Procedural Leaves | 1.10 | 
     
      4.10
     
   | 
  Msamples/sec | 
     
       
      3.73
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      254.03
     
   | 
  fps | 
     
       
      15.90
     
   | 
| maya | 62.09 | 
     
      606.70
     
   | 
  fps | 
     
       
      9.77
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3894.27
     
   | 
  points | 
     
       
      1.18
     
   | 
| handbrake | 1897.99 | 
     
      1970.75
     
   | 
  points | 
     
       
      1.04
     
   | 
| maya | 2037.06 | 
     
      2154.26
     
   | 
  points | 
     
       
      1.06
     
   | 
| MayaVenice | 472.63 | 
     
      460.56
     
   | 
  points | 
     
       
      0.97
     
   | 
| MandE | 1625.72 | 
     
      1457.55
     
   | 
  points | 
     
       
      0.90
     
   | 
Industry Vertical Scores
| Product Design | 3.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4569.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Create/Update Files | 4973.68 | 
     
      5122.00
     
   | 
  ms | 
     
       
      0.97
     
   | 
| Rebuild | 10590.28 | 
     
      10391.00
     
   | 
  ms | 
     
       
      1.02
     
   | 
| Render Style/Material | 628.78 | 
     
      627.00
     
   | 
  ms | 
     
       
      1.00
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      50.64
     
   | 
  fps | 
     
       
      2.08
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      68.34
     
   | 
  sec | 
     
       
      3.33
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      36.15
     
   | 
  sec | 
     
       
      22.20
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      318.73
     
   | 
  iterations/sec | 
     
       
      2.31
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      143.42
     
   | 
  fps | 
     
       
      8.16
     
   | 
| creo | 48.42 | 
     
      227.38
     
   | 
  fps | 
     
       
      4.70
     
   | 
| solidworks | 42.90 | 
     
      578.14
     
   | 
  fps | 
     
       
      13.50
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1866.54
     
   | 
  points | 
     
       
      1.33
     
   | 
| cfd | 1921.51 | 
     
      1648.21
     
   | 
  points | 
     
       
      0.86
     
   | 
| icePack | 1543.34 | 
     
      1622.72
     
   | 
  points | 
     
       
      1.05
     
   | 
| mcad | 2612.50 | 
     
      3486.95
     
   | 
  points | 
     
       
      1.33
     
   | 
| proddev | 659.82 | 
     
      558.85
     
   | 
  points | 
     
       
      0.85
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.76 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      14.32
     
   | 
  sec | 
     
       
      1.12
     
   | 
| Compression | 254.57 | 
     
      35.74
     
   | 
  sec | 
     
       
      7.12
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      181.99
     
   | 
  sec | 
     
       
      3.09
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      0.97
     
   | 
  sec/operation | 
     
       
      1.24
     
   | 
| benchmark2 | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.17
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.40
     
   | 
  sec | 
     
       
      0.91
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.69
     
   | 
  sec | 
     
       
      0.95
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      4.91
     
   | 
  sec | 
     
       
      1.64
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      8.34
     
   | 
  sec | 
     
       
      1.86
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.75
     
   | 
  sec | 
     
       
      0.97
     
   | 
| Multi-Matrix | 65.50 | 
     
      30.26
     
   | 
  sec | 
     
       
      2.16
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      504.29
     
   | 
  points | 
     
       
      1.17
     
   | 
| mozillaVS | 7708.43 | 
     
      9582.70
     
   | 
  points | 
     
       
      1.24
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            6.17
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      133.86
     
   | 
  fps | 
     
       
      0.79
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      473.43
     
   | 
  fps | 
     
       
      3.67
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      64.84
     
   | 
  inferences/sec | 
     
       
      16.50
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      127.68
     
   | 
  inferences/sec | 
     
       
      66.50
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      48.16
     
   | 
  inferences/sec | 
     
       
      7.31
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      60.34
     
   | 
  inferences/sec | 
     
       
      31.40
     
   | 
            3.08
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      14.32
     
   | 
  sec | 
     
       
      1.12
     
   | 
| Compression | 254.57 | 
     
      35.74
     
   | 
  sec | 
     
       
      7.12
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4569.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Create/Update Files | 4973.68 | 
     
      5122.00
     
   | 
  ms | 
     
       
      0.97
     
   | 
| Rebuild | 10590.28 | 
     
      10391.00
     
   | 
  ms | 
     
       
      1.02
     
   | 
| Render Style/Material | 628.78 | 
     
      627.00
     
   | 
  ms | 
     
       
      1.00
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      25.28
     
   | 
  sec | 
     
       
      11.10
     
   | 
| BMW27 | 43.82 | 
     
      13.02
     
   | 
  sec | 
     
       
      3.36
     
   | 
| BMW1M | 17.74 | 
     
      5.16
     
   | 
  sec | 
     
       
      3.44
     
   | 
| Island | 29.68 | 
     
      21.80
     
   | 
  sec | 
     
       
      1.36
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.31
     
   | 
  iterations/sec | 
     
       
      3.42
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      119.50
     
   | 
  sec | 
     
       
      1.10
     
   | 
| Scikit-learn | 449.17 | 
     
      109.64
     
   | 
  sec | 
     
       
      4.10
     
   | 
| XGBoost | 91.50 | 
     
      56.64
     
   | 
  sec | 
     
       
      1.62
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      92.09
     
   | 
  sec | 
     
       
      2.12
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      18.39
     
   | 
  sec | 
     
       
      2.09
     
   | 
| x265 4K to 4K | 107.73 | 
     
      40.31
     
   | 
  sec | 
     
       
      2.67
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      7.26
     
   | 
  sec | 
     
       
      6.88
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      50.64
     
   | 
  fps | 
     
       
      2.08
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      3115.29
     
   | 
  tau/day | 
     
       
      4.41
     
   | 
| CHAIN | 1190.35 | 
     
      5806.69
     
   | 
  tau/day | 
     
       
      4.88
     
   | 
| EAM | 0.63 | 
     
      2.63
     
   | 
  ns/day | 
     
       
      4.17
     
   | 
| CHUTE | 38.25 | 
     
      157.45
     
   | 
  tau/day | 
     
       
      4.12
     
   | 
| RHODO | 0.26 | 
     
      1.00
     
   | 
  ns/day | 
     
       
      3.84
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      181.99
     
   | 
  sec | 
     
       
      3.09
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      9.31
     
   | 
  Msamples/sec | 
     
       
      3.78
     
   | 
| Food | 1.84 | 
     
      7.20
     
   | 
  Msamples/sec | 
     
       
      3.91
     
   | 
| Danish Mood | 2.29 | 
     
      7.15
     
   | 
  Msamples/sec | 
     
       
      3.12
     
   | 
| Procedural Leaves | 1.10 | 
     
      4.10
     
   | 
  Msamples/sec | 
     
       
      3.73
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      68.34
     
   | 
  sec | 
     
       
      3.33
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      13.71
     
   | 
  ms/step | 
     
       
      3.31
     
   | 
| f1atpase | 130.50 | 
     
      38.96
     
   | 
  ms/step | 
     
       
      3.35
     
   | 
| stmv | 448.57 | 
     
      124.94
     
   | 
  ms/step | 
     
       
      3.59
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      0.97
     
   | 
  sec/operation | 
     
       
      1.24
     
   | 
| benchmark2 | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.17
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      22.00
     
   | 
  ms | 
     
       
      2.90
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      64.45
     
   | 
  inferences/sec | 
     
       
      3.52
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      10.42
     
   | 
  ms | 
     
       
      2.15
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      205.06
     
   | 
  inferences/sec | 
     
       
      4.40
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      37.62
     
   | 
  ms | 
     
       
      1.55
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      86.34
     
   | 
  inferences/sec | 
     
       
      4.14
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      19.44
     
   | 
  ms | 
     
       
      1.10
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      237.78
     
   | 
  inferences/sec | 
     
       
      4.25
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      36.15
     
   | 
  sec | 
     
       
      22.20
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      159299.12
     
   | 
  options/sec | 
     
       
      4.53
     
   | 
| Black-Scholes | 3389.63 | 
     
      15555.17
     
   | 
  Moptions/sec | 
     
       
      4.59
     
   | 
| Binomial | 79377.62 | 
     
      276315.36
     
   | 
  options/sec | 
     
       
      3.48
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      160.82
     
   | 
  iterations/sec | 
     
       
      10.00
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      33.74
     
   | 
  iterations/sec | 
     
       
      5.45
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.40
     
   | 
  sec | 
     
       
      0.91
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.69
     
   | 
  sec | 
     
       
      0.95
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      4.91
     
   | 
  sec | 
     
       
      1.64
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      8.34
     
   | 
  sec | 
     
       
      1.86
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.75
     
   | 
  sec | 
     
       
      0.97
     
   | 
| Multi-Matrix | 65.50 | 
     
      30.26
     
   | 
  sec | 
     
       
      2.16
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      318.73
     
   | 
  iterations/sec | 
     
       
      2.31
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      2.48
     
   | 
  fps | 
     
       
      3.60
     
   | 
| HotSpot | 8.55 | 
     
      2.83
     
   | 
  sec | 
     
       
      3.02
     
   | 
| LavaMD | 0.07 | 
     
      0.29
     
   | 
  iterations/sec | 
     
       
      4.21
     
   | 
| SRAD | 47.04 | 
     
      217.67
     
   | 
  iterations/sec | 
     
       
      4.63
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      6.13
     
   | 
  sec | 
     
       
      3.17
     
   | 
            12.08
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      254.03
     
   | 
  fps | 
     
       
      15.90
     
   | 
| catia | 17.57 | 
     
      143.42
     
   | 
  fps | 
     
       
      8.16
     
   | 
| creo | 48.42 | 
     
      227.38
     
   | 
  fps | 
     
       
      4.70
     
   | 
| energy | 11.48 | 
     
      257.75
     
   | 
  fps | 
     
       
      22.50
     
   | 
| maya | 62.09 | 
     
      606.70
     
   | 
  fps | 
     
       
      9.77
     
   | 
| medical | 9.63 | 
     
      199.19
     
   | 
  fps | 
     
       
      20.70
     
   | 
| solidworks | 42.90 | 
     
      578.14
     
   | 
  fps | 
     
       
      13.50
     
   | 
            1.05
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3894.27
     
   | 
  points | 
     
       
      1.18
     
   | 
| 7zip | 431.06 | 
     
      504.29
     
   | 
  points | 
     
       
      1.17
     
   | 
| ccx | 1398.45 | 
     
      1866.54
     
   | 
  points | 
     
       
      1.33
     
   | 
| cfd | 1921.51 | 
     
      1648.21
     
   | 
  points | 
     
       
      0.86
     
   | 
| energy | 1547.93 | 
     
      1338.30
     
   | 
  points | 
     
       
      0.86
     
   | 
| handbrake | 1897.99 | 
     
      1970.75
     
   | 
  points | 
     
       
      1.04
     
   | 
| icePack | 1543.34 | 
     
      1622.72
     
   | 
  points | 
     
       
      1.05
     
   | 
| maya | 2037.06 | 
     
      2154.26
     
   | 
  points | 
     
       
      1.06
     
   | 
| MayaVenice | 472.63 | 
     
      460.56
     
   | 
  points | 
     
       
      0.97
     
   | 
| MandE | 1625.72 | 
     
      1457.55
     
   | 
  points | 
     
       
      0.90
     
   | 
| mcad | 2612.50 | 
     
      3486.95
     
   | 
  points | 
     
       
      1.33
     
   | 
| mozillaVS | 7708.43 | 
     
      9582.70
     
   | 
  points | 
     
       
      1.24
     
   | 
| namd | 1250.61 | 
     
      1295.12
     
   | 
  points | 
     
       
      1.04
     
   | 
| proddev | 659.82 | 
     
      558.85
     
   | 
  points | 
     
       
      0.85
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 21, 2024, 1:48:10 PM MST | 
                         
                             4.09
                         
                     | 
                ||||
| Decompression | 14.32 sec | 16.04 | 
     
      14.32
     
   | 
  sec | 
     
       
      1.12
     
   | 
|
| Compression | 35.74 sec | 254.57 | 
     
      35.74
     
   | 
  sec | 
     
       
      7.12
     
   | 
|
| Autodesk Inventor | Nov 21, 2024, 1:49:07 PM MST | 
                         
                             0.98
                         
                     | 
                ||||
| Open Document | 4.78 sec | 4253.73 | 
     
      4569.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
|
| Create/Update Files | 6.91 sec | 4973.68 | 
     
      5122.00
     
   | 
  ms | 
     
       
      0.97
     
   | 
|
| Rebuild | 10.60 sec | 10590.28 | 
     
      10391.00
     
   | 
  ms | 
     
       
      1.02
     
   | 
|
| Render Style/Material | 0.84 sec | 628.78 | 
     
      627.00
     
   | 
  ms | 
     
       
      1.00
     
   | 
|
| Blender | Nov 21, 2024, 1:50:05 PM MST | 
                         
                             3.63
                         
                     | 
                ||||
| Classroom | 25.28 sec | 281.72 | 
     
      25.28
     
   | 
  sec | 
     
       
      11.10
     
   | 
|
| BMW27 | 13.02 sec | 43.82 | 
     
      13.02
     
   | 
  sec | 
     
       
      3.36
     
   | 
|
| BMW1M | 5.16 sec | 17.74 | 
     
      5.16
     
   | 
  sec | 
     
       
      3.44
     
   | 
|
| Island | 21.80 sec | 29.68 | 
     
      21.80
     
   | 
  sec | 
     
       
      1.36
     
   | 
|
| Convolution | Nov 21, 2024, 1:51:15 PM MST | 
                         
                             3.42
                         
                     | 
                ||||
| 20K/100 | 34.32 sec | 0.09 | 
     
      0.31
     
   | 
  iterations/sec | 
     
       
      3.42
     
   | 
|
| Data Science | Nov 21, 2024, 1:51:49 PM MST | 
                         
                             1.94
                         
                     | 
                ||||
| Pandas | 129.25 sec | 131.99 | 
     
      119.50
     
   | 
  sec | 
     
       
      1.10
     
   | 
|
| Scikit-learn | 114.05 sec | 449.17 | 
     
      109.64
     
   | 
  sec | 
     
       
      4.10
     
   | 
|
| XGBoost | 78.07 sec | 91.50 | 
     
      56.64
     
   | 
  sec | 
     
       
      1.62
     
   | 
|
| HandBrake | Nov 21, 2024, 1:57:25 PM MST | 
                         
                             2.49
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 92.09 sec | 195.16 | 
     
      92.09
     
   | 
  sec | 
     
       
      2.12
     
   | 
|
| x265 4K to 1080p | 19.80 sec | 38.36 | 
     
      18.39
     
   | 
  sec | 
     
       
      2.09
     
   | 
|
| x265 4K to 4K | 41.79 sec | 107.73 | 
     
      40.31
     
   | 
  sec | 
     
       
      2.67
     
   | 
|
| x264 1080p to 1080p | 7.26 sec | 49.98 | 
     
      7.26
     
   | 
  sec | 
     
       
      6.88
     
   | 
|
| GPU H.265 4K to 4K | 45.16 sec | 169.65 | 
     
      133.86
     
   | 
  fps | 
     
       
      0.79
     
   | 
|
| GPU H.265 4K to 1080p | 186.74 sec | 128.84 | 
     
      473.43
     
   | 
  fps | 
     
       
      3.67
     
   | 
|
| Hidden Line Removal | Nov 21, 2024, 2:04:04 PM MST | 
                         
                             2.08
                         
                     | 
                ||||
| Palatov | 17.29 sec | 24.29 | 
     
      50.64
     
   | 
  fps | 
     
       
      2.08
     
   | 
|
| Palatov | 17.08 sec | 24.29 | 
     
      44.27
     
   | 
  fps | 
     
       
      1.82
     
   | 
|
| LAMMPS | Nov 21, 2024, 2:04:39 PM MST | 
                         
                             4.27
                         
                     | 
                ||||
| LJ | 5.30 sec | 705.82 | 
     
      3115.29
     
   | 
  tau/day | 
     
       
      4.41
     
   | 
|
| CHAIN | 5.60 sec | 1190.35 | 
     
      5806.69
     
   | 
  tau/day | 
     
       
      4.88
     
   | 
|
| EAM | 5.63 sec | 0.63 | 
     
      2.63
     
   | 
  ns/day | 
     
       
      4.17
     
   | 
|
| CHUTE | 3.82 sec | 38.25 | 
     
      157.45
     
   | 
  tau/day | 
     
       
      4.12
     
   | 
|
| RHODO | 3.66 sec | 0.26 | 
     
      1.00
     
   | 
  ns/day | 
     
       
      3.84
     
   | 
|
| LLVM Clang | Nov 21, 2024, 2:05:04 PM MST | 
                         
                             3.09
                         
                     | 
                ||||
| PyTorch | 204.01 sec | 562.76 | 
     
      181.99
     
   | 
  sec | 
     
       
      3.09
     
   | 
|
| LuxCoreRender | Nov 21, 2024, 2:09:25 PM MST | 
                         
                             3.62
                         
                     | 
                ||||
| DLSC | 6.67 sec | 2.46 | 
     
      9.31
     
   | 
  Msamples/sec | 
     
       
      3.78
     
   | 
|
| Food | 10.56 sec | 1.84 | 
     
      7.20
     
   | 
  Msamples/sec | 
     
       
      3.91
     
   | 
|
| Danish Mood | 22.27 sec | 2.29 | 
     
      7.15
     
   | 
  Msamples/sec | 
     
       
      3.12
     
   | 
|
| Procedural Leaves | 13.90 sec | 1.10 | 
     
      4.10
     
   | 
  Msamples/sec | 
     
       
      3.73
     
   | 
|
| MFEM | Nov 21, 2024, 2:10:19 PM MST | 
                         
                             3.33
                         
                     | 
                ||||
| Dynamic AMR | 68.34 sec | 227.39 | 
     
      68.34
     
   | 
  sec | 
     
       
      3.33
     
   | 
|
| NAMD | Nov 21, 2024, 2:11:28 PM MST | 
                         
                             3.41
                         
                     | 
                ||||
| apoa1 | 10.80 sec | 45.38 | 
     
      13.71
     
   | 
  ms/step | 
     
       
      3.31
     
   | 
|
| f1atpase | 16.85 sec | 130.50 | 
     
      38.96
     
   | 
  ms/step | 
     
       
      3.35
     
   | 
|
| stmv | 26.61 sec | 448.57 | 
     
      124.94
     
   | 
  ms/step | 
     
       
      3.59
     
   | 
|
| Octave | Nov 21, 2024, 2:12:22 PM MST | 
                         
                             1.20
                         
                     | 
                ||||
| obench | 48.03 sec | 1.20 | 
     
      0.97
     
   | 
  sec/operation | 
     
       
      1.24
     
   | 
|
| benchmark2 | 11.54 sec | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.17
     
   | 
|
| ONNX Inference | Nov 21, 2024, 2:13:32 PM MST | 
                         
                             5.48
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.28 sec | 63.72 | 
     
      22.00
     
   | 
  ms | 
     
       
      2.90
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.11 sec | 18.33 | 
     
      64.45
     
   | 
  inferences/sec | 
     
       
      3.52
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.63 sec | 18.33 | 
     
      62.24
     
   | 
  inferences/sec | 
     
       
      3.40
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.14 sec | 22.37 | 
     
      10.42
     
   | 
  ms | 
     
       
      2.15
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.41 sec | 46.62 | 
     
      205.06
     
   | 
  inferences/sec | 
     
       
      4.40
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.57 sec | 46.62 | 
     
      204.57
     
   | 
  inferences/sec | 
     
       
      4.39
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 | 
     
      37.62
     
   | 
  ms | 
     
       
      1.55
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.84 sec | 20.87 | 
     
      86.34
     
   | 
  inferences/sec | 
     
       
      4.14
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.30 sec | 20.87 | 
     
      80.81
     
   | 
  inferences/sec | 
     
       
      3.87
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 | 
     
      19.44
     
   | 
  ms | 
     
       
      1.10
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.41 sec | 55.92 | 
     
      237.78
     
   | 
  inferences/sec | 
     
       
      4.25
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.58 sec | 55.92 | 
     
      187.99
     
   | 
  inferences/sec | 
     
       
      3.36
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.67 sec | 3.92 | 
     
      64.84
     
   | 
  inferences/sec | 
     
       
      16.50
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.65 sec | 1.92 | 
     
      127.68
     
   | 
  inferences/sec | 
     
       
      66.50
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.31 sec | 6.59 | 
     
      48.16
     
   | 
  inferences/sec | 
     
       
      7.31
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.45 sec | 1.92 | 
     
      60.34
     
   | 
  inferences/sec | 
     
       
      31.40
     
   | 
|
| OpenFOAM | Nov 21, 2024, 2:19:05 PM MST | 
                         
                             22.20
                         
                     | 
                ||||
| XiFoam Solver | 77.04 sec | 803.27 | 
     
      63.90
     
   | 
  sec | 
     
       
      12.60
     
   | 
|
| XiFoam Solver | 47.25 sec | 803.27 | 
     
      36.15
     
   | 
  sec | 
     
       
      22.20
     
   | 
|
| Options Pricing | Nov 21, 2024, 2:21:12 PM MST | 
                         
                             4.17
                         
                     | 
                ||||
| Monte Carlo | 6.67 sec | 35137.48 | 
     
      159299.12
     
   | 
  options/sec | 
     
       
      4.53
     
   | 
|
| Black-Scholes | 5.79 sec | 3389.63 | 
     
      15555.17
     
   | 
  Moptions/sec | 
     
       
      4.59
     
   | 
|
| Binomial | 3.86 sec | 79377.62 | 
     
      276315.36
     
   | 
  options/sec | 
     
       
      3.48
     
   | 
|
| Poisson | Nov 21, 2024, 2:21:29 PM MST | 
                         
                             7.38
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.05 sec | 16.05 | 
     
      160.82
     
   | 
  iterations/sec | 
     
       
      10.00
     
   | 
|
| Jacobi Rectangular Grid | 10.04 sec | 16.05 | 
     
      147.31
     
   | 
  iterations/sec | 
     
       
      9.18
     
   | 
|
| Jacobi Square Grid | 10.07 sec | 6.19 | 
     
      33.15
     
   | 
  iterations/sec | 
     
       
      5.36
     
   | 
|
| Jacobi Square Grid | 10.07 sec | 6.19 | 
     
      33.74
     
   | 
  iterations/sec | 
     
       
      5.45
     
   | 
|
| Python 3 | Nov 21, 2024, 2:22:09 PM MST | 
                         
                             1.61
                         
                     | 
                ||||
| NumPy Create Matrix | 2.01 sec | 0.36 | 
     
      0.40
     
   | 
  sec | 
     
       
      0.91
     
   | 
|
| NumPy Add Matrix | 5.48 sec | 4.44 | 
     
      4.69
     
   | 
  sec | 
     
       
      0.95
     
   | 
|
| NumPy Multiply Matrix | 5.72 sec | 8.06 | 
     
      4.91
     
   | 
  sec | 
     
       
      1.64
     
   | 
|
| NumPy Invert Matrix | 9.16 sec | 15.53 | 
     
      8.34
     
   | 
  sec | 
     
       
      1.86
     
   | 
|
| NumPy Sin Matrix | 3.56 sec | 2.67 | 
     
      2.75
     
   | 
  sec | 
     
       
      0.97
     
   | 
|
| Multi-Matrix | 31.08 sec | 65.50 | 
     
      30.26
     
   | 
  sec | 
     
       
      2.16
     
   | 
|
| Rodinia CFD | Nov 21, 2024, 2:23:15 PM MST | 
                         
                             2.31
                         
                     | 
                ||||
| Pre-Euler | 32.95 sec | 138.14 | 
     
      318.73
     
   | 
  iterations/sec | 
     
       
      2.31
     
   | 
|
| Rodinia Life Sciences | Nov 21, 2024, 2:23:48 PM MST | 
                         
                             3.82
                         
                     | 
                ||||
| Heart Wall | 10.26 sec | 0.69 | 
     
      2.48
     
   | 
  fps | 
     
       
      3.60
     
   | 
|
| HotSpot | 4.00 sec | 8.55 | 
     
      2.83
     
   | 
  sec | 
     
       
      3.02
     
   | 
|
| LavaMD | 10.57 sec | 0.07 | 
     
      0.29
     
   | 
  iterations/sec | 
     
       
      4.21
     
   | 
|
| SRAD | 10.24 sec | 47.04 | 
     
      217.67
     
   | 
  iterations/sec | 
     
       
      4.63
     
   | 
|
| SRMP | Nov 21, 2024, 2:24:24 PM MST | 
                         
                             3.17
                         
                     | 
                ||||
| 2D | 6.41 sec | 19.45 | 
     
      6.13
     
   | 
  sec | 
     
       
      3.17
     
   | 
|
| Viewport Graphics | Nov 21, 2024, 2:24:30 PM MST | 
                         
                             12.10
                         
                     | 
                ||||
| 3dsmax | 119.53 sec | 15.96 | 
     
      254.03
     
   | 
  fps | 
     
       
      15.90
     
   | 
|
| catia | 113.46 sec | 17.57 | 
     
      143.42
     
   | 
  fps | 
     
       
      8.16
     
   | 
|
| creo | 124.16 sec | 48.42 | 
     
      227.38
     
   | 
  fps | 
     
       
      4.70
     
   | 
|
| energy | 97.07 sec | 11.48 | 
     
      257.75
     
   | 
  fps | 
     
       
      22.50
     
   | 
|
| maya | 88.48 sec | 62.09 | 
     
      606.70
     
   | 
  fps | 
     
       
      9.77
     
   | 
|
| medical | 72.06 sec | 9.63 | 
     
      199.19
     
   | 
  fps | 
     
       
      20.70
     
   | 
|
| solidworks | 72.80 sec | 42.90 | 
     
      578.14
     
   | 
  fps | 
     
       
      13.50
     
   | 
|
| WPCstorage | Nov 21, 2024, 2:36:52 PM MST | 
                         
                             1.05
                         
                     | 
                ||||
| 3dsmax | 54.87 sec | 3299.42 | 
     
      3894.27
     
   | 
  points | 
     
       
      1.18
     
   | 
|
| 7zip | 58.40 sec | 431.06 | 
     
      504.29
     
   | 
  points | 
     
       
      1.17
     
   | 
|
| ccx | 12.86 sec | 1398.45 | 
     
      1866.54
     
   | 
  points | 
     
       
      1.33
     
   | 
|
| cfd | 13.61 sec | 1921.51 | 
     
      1648.21
     
   | 
  points | 
     
       
      0.86
     
   | 
|
| energy | 23.56 sec | 1547.93 | 
     
      1338.30
     
   | 
  points | 
     
       
      0.86
     
   | 
|
| handbrake | 17.30 sec | 1897.99 | 
     
      1970.75
     
   | 
  points | 
     
       
      1.04
     
   | 
|
| icePack | 57.40 sec | 1543.34 | 
     
      1622.72
     
   | 
  points | 
     
       
      1.05
     
   | 
|
| maya | 55.80 sec | 2037.06 | 
     
      2154.26
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| MayaVenice | 34.52 sec | 472.63 | 
     
      460.56
     
   | 
  points | 
     
       
      0.97
     
   | 
|
| MandE | 22.58 sec | 1625.72 | 
     
      1457.55
     
   | 
  points | 
     
       
      0.90
     
   | 
|
| mcad | 60.04 sec | 2612.50 | 
     
      3486.95
     
   | 
  points | 
     
       
      1.33
     
   | 
|
| mozillaVS | 29.44 sec | 7708.43 | 
     
      9582.70
     
   | 
  points | 
     
       
      1.24
     
   | 
|
| namd | 18.28 sec | 1250.61 | 
     
      1295.12
     
   | 
  points | 
     
       
      1.04
     
   | 
|
| proddev | 20.13 sec | 659.82 | 
     
      558.85
     
   | 
  points | 
     
       
      0.85
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 8B24Model: HP Z6 G5 A Workstation Desktop PC
Version: KBC Version 12.03.00
Manufacturer: HP
Serial Number: PQZGTX7CYIC00J
BIOS: HP U65 Ver. 01.01.21
BIOS Version: HPQOEM - 1 (2024-08-14)
      
      PROCESSOR
    
    CPU #1: AMD Ryzen Threadripper PRO 7975WX 32-Cores      (4001MHz / 32C / 64T)
      
      MEMORY
    
    P0 CHANNEL A (CPU0-DIMM1): Hynix HMCG78AGBRA190N                (16.00 GB / 5200 MHz / DDR5)P0 CHANNEL B (CPU0-DIMM2): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL C (CPU0-DIMM3): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL D (CPU0-DIMM4): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL E (CPU0-DIMM5): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL F (CPU0-DIMM6): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL G (CPU0-DIMM7): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL H (CPU0-DIMM8): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
Total Memory: 128.00 GB
      
      STORAGE
    
    Disk #1: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)Partition 1: GPT: Basic Data (953.74 GB)
Disk #2: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)
Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (952.73 GB)
Partition 3: GPT: Unknown (0.86 GB)
Available Volumes
C: (Windows): NTFS (823.68 GB of 952.73 GB Available)
D: (DATADRIVE1): NTFS (908.82 GB of 953.74 GB Available)
      
      NETWORK
    
    Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 38:CA:84:48:B7:53 | Speed: 1000.00 Mbit
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 5000 Ada GenerationVideo Memory: 31.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5274 (2024-06-23)
        
        DISPLAY
      
      Display #1: HP INC. HP Z27k G3 27.2" (3840x2160)Model: 36D4 | S/N: CN41283LXD | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 2560x1440 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-17
Free Memory: 119.26 GB (Physical) | 125.10 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)