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 Z4 G5 Workstation Desktop PC | 
| CPU | Intel(R) Xeon(R) w7-2495X | 
| Memory | 256.00 GB @ 4800 MHz | 
| GPU | AMD Radeon PRO W7600 | 
| Display | HP Z24n G3 24.0" (1920x1200) | 
          
| Storage | Drive 1: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI Drive 2: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro for Workstations (22631) | 
Submission Details
| Result Date | Thu Nov 21 2024 12:00:33 GMT-0700 (Mountain Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          2.23 | 
Energy  | 
          2.34 | 
Financial Services  | 
          2.06 | 
Life Sciences  | 
          2.48 | 
Media & Entertainment  | 
          2.18 | 
Product Design  | 
          2.05 | 
Productivity & Development  | 
          1.11 | 
Hardware Subsystem Scores
| CPU | 1.89 | 
| Accelerator | 3.58 | 
| Graphics | 5.67 | 
| Storage | 0.87 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 1.94 | 
| Autodesk Inventor | 0.56 | 
| Blender | 2.36 | 
| Convolution | 2.39 | 
| Data Science | 1.41 | 
| HandBrake | 1.98 | 
| Hidden Line Removal | 1.28 | 
| LAMMPS | 2.40 | 
| LLVM Clang | 1.89 | 
| LuxCoreRender | 2.18 | 
| MFEM | 1.95 | 
| NAMD | 1.90 | 
| Octave | 0.81 | 
| ONNX Inference | 3.53 | 
| OpenFOAM | 10.70 | 
| Options Pricing | 2.06 | 
| Poisson | 2.24 | 
| Python 3 | 1.21 | 
| Rodinia CFD | 2.77 | 
| Rodinia Life Sciences | 2.28 | 
| SRMP | 2.03 | 
| Viewport Graphics | 5.67 | 
| WPCstorage | 0.87 | 
Industry Vertical Scores
| AI & Machine Learning | 2.23 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      144.30
     
   | 
  sec | 
     
       
      0.92
     
   | 
| Scikit-learn | 449.17 | 
     
      210.83
     
   | 
  sec | 
     
       
      2.13
     
   | 
| XGBoost | 91.50 | 
     
      62.92
     
   | 
  sec | 
     
       
      1.45
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      21.80
     
   | 
  ms | 
     
       
      2.92
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      52.67
     
   | 
  inferences/sec | 
     
       
      2.87
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      9.07
     
   | 
  ms | 
     
       
      2.47
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      151.51
     
   | 
  inferences/sec | 
     
       
      3.25
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      22.62
     
   | 
  ms | 
     
       
      2.58
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      58.94
     
   | 
  inferences/sec | 
     
       
      2.82
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      12.63
     
   | 
  ms | 
     
       
      1.69
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      135.62
     
   | 
  inferences/sec | 
     
       
      2.43
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      20.28
     
   | 
  inferences/sec | 
     
       
      5.17
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      32.04
     
   | 
  inferences/sec | 
     
       
      16.70
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      21.97
     
   | 
  inferences/sec | 
     
       
      3.33
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      12.43
     
   | 
  inferences/sec | 
     
       
      6.47
     
   | 
Industry Vertical Scores
| Energy | 2.34 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.22
     
   | 
  iterations/sec | 
     
       
      2.39
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      39.07
     
   | 
  iterations/sec | 
     
       
      2.43
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      12.73
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      9.56
     
   | 
  sec | 
     
       
      2.03
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      91.62
     
   | 
  fps | 
     
       
      7.98
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1248.10
     
   | 
  points | 
     
       
      0.81
     
   | 
Industry Vertical Scores
| Financial Services | 2.06 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      79669.08
     
   | 
  options/sec | 
     
       
      2.27
     
   | 
| Black-Scholes | 3389.63 | 
     
      7754.68
     
   | 
  Moptions/sec | 
     
       
      2.29
     
   | 
| Binomial | 79377.62 | 
     
      133733.91
     
   | 
  options/sec | 
     
       
      1.68
     
   | 
Industry Vertical Scores
| Life Sciences | 2.48 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1771.18
     
   | 
  tau/day | 
     
       
      2.51
     
   | 
| CHAIN | 1190.35 | 
     
      3399.14
     
   | 
  tau/day | 
     
       
      2.86
     
   | 
| EAM | 0.63 | 
     
      1.50
     
   | 
  ns/day | 
     
       
      2.39
     
   | 
| CHUTE | 38.25 | 
     
      79.65
     
   | 
  tau/day | 
     
       
      2.08
     
   | 
| RHODO | 0.26 | 
     
      0.58
     
   | 
  ns/day | 
     
       
      2.22
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      23.87
     
   | 
  ms/step | 
     
       
      1.90
     
   | 
| f1atpase | 130.50 | 
     
      73.40
     
   | 
  ms/step | 
     
       
      1.78
     
   | 
| stmv | 448.57 | 
     
      222.12
     
   | 
  ms/step | 
     
       
      2.02
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.79
     
   | 
  fps | 
     
       
      2.59
     
   | 
| HotSpot | 8.55 | 
     
      3.57
     
   | 
  sec | 
     
       
      2.40
     
   | 
| LavaMD | 0.07 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| SRAD | 47.04 | 
     
      98.60
     
   | 
  iterations/sec | 
     
       
      2.10
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      87.48
     
   | 
  fps | 
     
       
      9.08
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1236.62
     
   | 
  points | 
     
       
      0.99
     
   | 
Industry Vertical Scores
| Media & Entertainment | 2.18 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      43.28
     
   | 
  sec | 
     
       
      6.51
     
   | 
| BMW27 | 43.82 | 
     
      21.01
     
   | 
  sec | 
     
       
      2.09
     
   | 
| BMW1M | 17.74 | 
     
      8.57
     
   | 
  sec | 
     
       
      2.07
     
   | 
| Island | 29.68 | 
     
      27.00
     
   | 
  sec | 
     
       
      1.10
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      144.37
     
   | 
  sec | 
     
       
      1.35
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.04
     
   | 
  sec | 
     
       
      1.37
     
   | 
| x265 4K to 4K | 107.73 | 
     
      56.06
     
   | 
  sec | 
     
       
      1.92
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      11.10
     
   | 
  sec | 
     
       
      4.50
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      190.07
     
   | 
  fps | 
     
       
      1.12
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      439.10
     
   | 
  fps | 
     
       
      3.41
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.62
     
   | 
  Msamples/sec | 
     
       
      2.28
     
   | 
| Food | 1.84 | 
     
      4.26
     
   | 
  Msamples/sec | 
     
       
      2.32
     
   | 
| Danish Mood | 2.29 | 
     
      4.49
     
   | 
  Msamples/sec | 
     
       
      1.96
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.38
     
   | 
  Msamples/sec | 
     
       
      2.16
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      109.13
     
   | 
  fps | 
     
       
      6.84
     
   | 
| maya | 62.09 | 
     
      323.54
     
   | 
  fps | 
     
       
      5.21
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      2557.01
     
   | 
  points | 
     
       
      0.78
     
   | 
| handbrake | 1897.99 | 
     
      1578.97
     
   | 
  points | 
     
       
      0.83
     
   | 
| maya | 2037.06 | 
     
      1372.20
     
   | 
  points | 
     
       
      0.67
     
   | 
| MayaVenice | 472.63 | 
     
      407.88
     
   | 
  points | 
     
       
      0.86
     
   | 
| MandE | 1625.72 | 
     
      1593.56
     
   | 
  points | 
     
       
      0.98
     
   | 
Industry Vertical Scores
| Product Design | 2.05 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      8860.00
     
   | 
  ms | 
     
       
      0.48
     
   | 
| Create/Update Files | 4973.68 | 
     
      7543.00
     
   | 
  ms | 
     
       
      0.66
     
   | 
| Rebuild | 10590.28 | 
     
      14323.00
     
   | 
  ms | 
     
       
      0.74
     
   | 
| Render Style/Material | 628.78 | 
     
      1512.00
     
   | 
  ms | 
     
       
      0.42
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      31.18
     
   | 
  fps | 
     
       
      1.28
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      116.58
     
   | 
  sec | 
     
       
      1.95
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      74.84
     
   | 
  sec | 
     
       
      10.70
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      383.30
     
   | 
  iterations/sec | 
     
       
      2.77
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      74.04
     
   | 
  fps | 
     
       
      4.21
     
   | 
| creo | 48.42 | 
     
      148.48
     
   | 
  fps | 
     
       
      3.07
     
   | 
| solidworks | 42.90 | 
     
      241.06
     
   | 
  fps | 
     
       
      5.62
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1340.83
     
   | 
  points | 
     
       
      0.96
     
   | 
| cfd | 1921.51 | 
     
      1221.21
     
   | 
  points | 
     
       
      0.64
     
   | 
| icePack | 1543.34 | 
     
      1394.17
     
   | 
  points | 
     
       
      0.90
     
   | 
| mcad | 2612.50 | 
     
      2746.15
     
   | 
  points | 
     
       
      1.05
     
   | 
| proddev | 659.82 | 
     
      609.24
     
   | 
  points | 
     
       
      0.92
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.11 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      72.33
     
   | 
  sec | 
     
       
      0.22
     
   | 
| Compression | 254.57 | 
     
      51.98
     
   | 
  sec | 
     
       
      4.90
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      297.06
     
   | 
  sec | 
     
       
      1.89
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.43
     
   | 
  sec/operation | 
     
       
      0.84
     
   | 
| benchmark2 | 0.11 | 
     
      0.14
     
   | 
  sec/operation | 
     
       
      0.78
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.48
     
   | 
  sec | 
     
       
      0.75
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.62
     
   | 
  sec | 
     
       
      0.79
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      5.70
     
   | 
  sec | 
     
       
      1.41
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.04
     
   | 
  sec | 
     
       
      1.55
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.23
     
   | 
  sec | 
     
       
      0.83
     
   | 
| Multi-Matrix | 65.50 | 
     
      45.50
     
   | 
  sec | 
     
       
      1.44
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      473.81
     
   | 
  points | 
     
       
      1.10
     
   | 
| mozillaVS | 7708.43 | 
     
      6645.35
     
   | 
  points | 
     
       
      0.86
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            3.58
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      190.07
     
   | 
  fps | 
     
       
      1.12
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      439.10
     
   | 
  fps | 
     
       
      3.41
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      20.28
     
   | 
  inferences/sec | 
     
       
      5.17
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      32.04
     
   | 
  inferences/sec | 
     
       
      16.70
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      21.97
     
   | 
  inferences/sec | 
     
       
      3.33
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      12.43
     
   | 
  inferences/sec | 
     
       
      6.47
     
   | 
            1.89
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      72.33
     
   | 
  sec | 
     
       
      0.22
     
   | 
| Compression | 254.57 | 
     
      51.98
     
   | 
  sec | 
     
       
      4.90
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      8860.00
     
   | 
  ms | 
     
       
      0.48
     
   | 
| Create/Update Files | 4973.68 | 
     
      7543.00
     
   | 
  ms | 
     
       
      0.66
     
   | 
| Rebuild | 10590.28 | 
     
      14323.00
     
   | 
  ms | 
     
       
      0.74
     
   | 
| Render Style/Material | 628.78 | 
     
      1512.00
     
   | 
  ms | 
     
       
      0.42
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      43.28
     
   | 
  sec | 
     
       
      6.51
     
   | 
| BMW27 | 43.82 | 
     
      21.01
     
   | 
  sec | 
     
       
      2.09
     
   | 
| BMW1M | 17.74 | 
     
      8.57
     
   | 
  sec | 
     
       
      2.07
     
   | 
| Island | 29.68 | 
     
      27.00
     
   | 
  sec | 
     
       
      1.10
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.22
     
   | 
  iterations/sec | 
     
       
      2.39
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      144.30
     
   | 
  sec | 
     
       
      0.92
     
   | 
| Scikit-learn | 449.17 | 
     
      210.83
     
   | 
  sec | 
     
       
      2.13
     
   | 
| XGBoost | 91.50 | 
     
      62.92
     
   | 
  sec | 
     
       
      1.45
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      144.37
     
   | 
  sec | 
     
       
      1.35
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      28.04
     
   | 
  sec | 
     
       
      1.37
     
   | 
| x265 4K to 4K | 107.73 | 
     
      56.06
     
   | 
  sec | 
     
       
      1.92
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      11.10
     
   | 
  sec | 
     
       
      4.50
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      31.18
     
   | 
  fps | 
     
       
      1.28
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1771.18
     
   | 
  tau/day | 
     
       
      2.51
     
   | 
| CHAIN | 1190.35 | 
     
      3399.14
     
   | 
  tau/day | 
     
       
      2.86
     
   | 
| EAM | 0.63 | 
     
      1.50
     
   | 
  ns/day | 
     
       
      2.39
     
   | 
| CHUTE | 38.25 | 
     
      79.65
     
   | 
  tau/day | 
     
       
      2.08
     
   | 
| RHODO | 0.26 | 
     
      0.58
     
   | 
  ns/day | 
     
       
      2.22
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      297.06
     
   | 
  sec | 
     
       
      1.89
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      5.62
     
   | 
  Msamples/sec | 
     
       
      2.28
     
   | 
| Food | 1.84 | 
     
      4.26
     
   | 
  Msamples/sec | 
     
       
      2.32
     
   | 
| Danish Mood | 2.29 | 
     
      4.49
     
   | 
  Msamples/sec | 
     
       
      1.96
     
   | 
| Procedural Leaves | 1.10 | 
     
      2.38
     
   | 
  Msamples/sec | 
     
       
      2.16
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      116.58
     
   | 
  sec | 
     
       
      1.95
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      23.87
     
   | 
  ms/step | 
     
       
      1.90
     
   | 
| f1atpase | 130.50 | 
     
      73.40
     
   | 
  ms/step | 
     
       
      1.78
     
   | 
| stmv | 448.57 | 
     
      222.12
     
   | 
  ms/step | 
     
       
      2.02
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.43
     
   | 
  sec/operation | 
     
       
      0.84
     
   | 
| benchmark2 | 0.11 | 
     
      0.14
     
   | 
  sec/operation | 
     
       
      0.78
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      21.80
     
   | 
  ms | 
     
       
      2.92
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      52.67
     
   | 
  inferences/sec | 
     
       
      2.87
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      9.07
     
   | 
  ms | 
     
       
      2.47
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      151.51
     
   | 
  inferences/sec | 
     
       
      3.25
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      22.62
     
   | 
  ms | 
     
       
      2.58
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      58.94
     
   | 
  inferences/sec | 
     
       
      2.82
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      12.63
     
   | 
  ms | 
     
       
      1.69
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      135.62
     
   | 
  inferences/sec | 
     
       
      2.43
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      74.84
     
   | 
  sec | 
     
       
      10.70
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      79669.08
     
   | 
  options/sec | 
     
       
      2.27
     
   | 
| Black-Scholes | 3389.63 | 
     
      7754.68
     
   | 
  Moptions/sec | 
     
       
      2.29
     
   | 
| Binomial | 79377.62 | 
     
      133733.91
     
   | 
  options/sec | 
     
       
      1.68
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      39.07
     
   | 
  iterations/sec | 
     
       
      2.43
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      12.73
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.48
     
   | 
  sec | 
     
       
      0.75
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.62
     
   | 
  sec | 
     
       
      0.79
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      5.70
     
   | 
  sec | 
     
       
      1.41
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.04
     
   | 
  sec | 
     
       
      1.55
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.23
     
   | 
  sec | 
     
       
      0.83
     
   | 
| Multi-Matrix | 65.50 | 
     
      45.50
     
   | 
  sec | 
     
       
      1.44
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      383.30
     
   | 
  iterations/sec | 
     
       
      2.77
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.79
     
   | 
  fps | 
     
       
      2.59
     
   | 
| HotSpot | 8.55 | 
     
      3.57
     
   | 
  sec | 
     
       
      2.40
     
   | 
| LavaMD | 0.07 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
| SRAD | 47.04 | 
     
      98.60
     
   | 
  iterations/sec | 
     
       
      2.10
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      9.56
     
   | 
  sec | 
     
       
      2.03
     
   | 
            5.67
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      109.13
     
   | 
  fps | 
     
       
      6.84
     
   | 
| catia | 17.57 | 
     
      74.04
     
   | 
  fps | 
     
       
      4.21
     
   | 
| creo | 48.42 | 
     
      148.48
     
   | 
  fps | 
     
       
      3.07
     
   | 
| energy | 11.48 | 
     
      91.62
     
   | 
  fps | 
     
       
      7.98
     
   | 
| maya | 62.09 | 
     
      323.54
     
   | 
  fps | 
     
       
      5.21
     
   | 
| medical | 9.63 | 
     
      87.48
     
   | 
  fps | 
     
       
      9.08
     
   | 
| solidworks | 42.90 | 
     
      241.06
     
   | 
  fps | 
     
       
      5.62
     
   | 
            0.87
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      2557.01
     
   | 
  points | 
     
       
      0.78
     
   | 
| 7zip | 431.06 | 
     
      473.81
     
   | 
  points | 
     
       
      1.10
     
   | 
| ccx | 1398.45 | 
     
      1340.83
     
   | 
  points | 
     
       
      0.96
     
   | 
| cfd | 1921.51 | 
     
      1221.21
     
   | 
  points | 
     
       
      0.64
     
   | 
| energy | 1547.93 | 
     
      1248.10
     
   | 
  points | 
     
       
      0.81
     
   | 
| handbrake | 1897.99 | 
     
      1578.97
     
   | 
  points | 
     
       
      0.83
     
   | 
| icePack | 1543.34 | 
     
      1394.17
     
   | 
  points | 
     
       
      0.90
     
   | 
| maya | 2037.06 | 
     
      1372.20
     
   | 
  points | 
     
       
      0.67
     
   | 
| MayaVenice | 472.63 | 
     
      407.88
     
   | 
  points | 
     
       
      0.86
     
   | 
| MandE | 1625.72 | 
     
      1593.56
     
   | 
  points | 
     
       
      0.98
     
   | 
| mcad | 2612.50 | 
     
      2746.15
     
   | 
  points | 
     
       
      1.05
     
   | 
| mozillaVS | 7708.43 | 
     
      6645.35
     
   | 
  points | 
     
       
      0.86
     
   | 
| namd | 1250.61 | 
     
      1236.62
     
   | 
  points | 
     
       
      0.99
     
   | 
| proddev | 659.82 | 
     
      609.24
     
   | 
  points | 
     
       
      0.92
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 21, 2024, 12:00:33 PM MST | 
                         
                             1.94
                         
                     | 
                ||||
| Decompression | 72.33 sec | 16.04 | 
     
      72.33
     
   | 
  sec | 
     
       
      0.22
     
   | 
|
| Compression | 51.98 sec | 254.57 | 
     
      51.98
     
   | 
  sec | 
     
       
      4.90
     
   | 
|
| Autodesk Inventor | Nov 21, 2024, 12:02:54 PM MST | 
                         
                             0.56
                         
                     | 
                ||||
| Open Document | 9.55 sec | 4253.73 | 
     
      8860.00
     
   | 
  ms | 
     
       
      0.48
     
   | 
|
| Create/Update Files | 9.93 sec | 4973.68 | 
     
      7543.00
     
   | 
  ms | 
     
       
      0.66
     
   | 
|
| Rebuild | 14.90 sec | 10590.28 | 
     
      14323.00
     
   | 
  ms | 
     
       
      0.74
     
   | 
|
| Render Style/Material | 2.20 sec | 628.78 | 
     
      1512.00
     
   | 
  ms | 
     
       
      0.42
     
   | 
|
| Blender | Nov 21, 2024, 12:04:14 PM MST | 
                         
                             2.36
                         
                     | 
                ||||
| Classroom | 43.28 sec | 281.72 | 
     
      43.28
     
   | 
  sec | 
     
       
      6.51
     
   | 
|
| BMW27 | 21.01 sec | 43.82 | 
     
      21.01
     
   | 
  sec | 
     
       
      2.09
     
   | 
|
| BMW1M | 8.57 sec | 17.74 | 
     
      8.57
     
   | 
  sec | 
     
       
      2.07
     
   | 
|
| Island | 27.00 sec | 29.68 | 
     
      27.00
     
   | 
  sec | 
     
       
      1.10
     
   | 
|
| Convolution | Nov 21, 2024, 12:06:07 PM MST | 
                         
                             2.39
                         
                     | 
                ||||
| 20K/100 | 34.30 sec | 0.09 | 
     
      0.22
     
   | 
  iterations/sec | 
     
       
      2.39
     
   | 
|
| Data Science | Nov 21, 2024, 12:06:42 PM MST | 
                         
                             1.41
                         
                     | 
                ||||
| Pandas | 150.99 sec | 131.99 | 
     
      144.30
     
   | 
  sec | 
     
       
      0.92
     
   | 
|
| Scikit-learn | 217.16 sec | 449.17 | 
     
      210.83
     
   | 
  sec | 
     
       
      2.13
     
   | 
|
| XGBoost | 90.43 sec | 91.50 | 
     
      62.92
     
   | 
  sec | 
     
       
      1.45
     
   | 
|
| HandBrake | Nov 21, 2024, 12:15:21 PM MST | 
                         
                             1.98
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 144.37 sec | 195.16 | 
     
      144.37
     
   | 
  sec | 
     
       
      1.35
     
   | 
|
| x265 4K to 1080p | 30.01 sec | 38.36 | 
     
      28.04
     
   | 
  sec | 
     
       
      1.37
     
   | 
|
| x265 4K to 4K | 58.10 sec | 107.73 | 
     
      56.06
     
   | 
  sec | 
     
       
      1.92
     
   | 
|
| x264 1080p to 1080p | 11.10 sec | 49.98 | 
     
      11.10
     
   | 
  sec | 
     
       
      4.50
     
   | 
|
| GPU H.265 4K to 4K | 67.10 sec | 169.65 | 
     
      190.07
     
   | 
  fps | 
     
       
      1.12
     
   | 
|
| GPU H.265 4K to 1080p | 248.06 sec | 128.84 | 
     
      439.10
     
   | 
  fps | 
     
       
      3.41
     
   | 
|
| Hidden Line Removal | Nov 21, 2024, 12:24:49 PM MST | 
                         
                             1.28
                         
                     | 
                ||||
| Palatov | 18.43 sec | 24.29 | 
     
      31.18
     
   | 
  fps | 
     
       
      1.28
     
   | 
|
| Palatov | 18.35 sec | 24.29 | 
     
      26.55
     
   | 
  fps | 
     
       
      1.09
     
   | 
|
| LAMMPS | Nov 21, 2024, 12:25:27 PM MST | 
                         
                             2.40
                         
                     | 
                ||||
| LJ | 9.49 sec | 705.82 | 
     
      1771.18
     
   | 
  tau/day | 
     
       
      2.51
     
   | 
|
| CHAIN | 8.60 sec | 1190.35 | 
     
      3399.14
     
   | 
  tau/day | 
     
       
      2.86
     
   | 
|
| EAM | 9.97 sec | 0.63 | 
     
      1.50
     
   | 
  ns/day | 
     
       
      2.39
     
   | 
|
| CHUTE | 6.14 sec | 38.25 | 
     
      79.65
     
   | 
  tau/day | 
     
       
      2.08
     
   | 
|
| RHODO | 5.86 sec | 0.26 | 
     
      0.58
     
   | 
  ns/day | 
     
       
      2.22
     
   | 
|
| LLVM Clang | Nov 21, 2024, 12:26:08 PM MST | 
                         
                             1.89
                         
                     | 
                ||||
| PyTorch | 366.44 sec | 562.76 | 
     
      297.06
     
   | 
  sec | 
     
       
      1.89
     
   | 
|
| LuxCoreRender | Nov 21, 2024, 12:37:21 PM MST | 
                         
                             2.18
                         
                     | 
                ||||
| DLSC | 9.87 sec | 2.46 | 
     
      5.62
     
   | 
  Msamples/sec | 
     
       
      2.28
     
   | 
|
| Food | 16.39 sec | 1.84 | 
     
      4.26
     
   | 
  Msamples/sec | 
     
       
      2.32
     
   | 
|
| Danish Mood | 34.66 sec | 2.29 | 
     
      4.49
     
   | 
  Msamples/sec | 
     
       
      1.96
     
   | 
|
| Procedural Leaves | 23.19 sec | 1.10 | 
     
      2.38
     
   | 
  Msamples/sec | 
     
       
      2.16
     
   | 
|
| MFEM | Nov 21, 2024, 12:38:46 PM MST | 
                         
                             1.95
                         
                     | 
                ||||
| Dynamic AMR | 116.58 sec | 227.39 | 
     
      116.58
     
   | 
  sec | 
     
       
      1.95
     
   | 
|
| NAMD | Nov 21, 2024, 12:40:43 PM MST | 
                         
                             1.90
                         
                     | 
                ||||
| apoa1 | 13.51 sec | 45.38 | 
     
      23.87
     
   | 
  ms/step | 
     
       
      1.90
     
   | 
|
| f1atpase | 20.94 sec | 130.50 | 
     
      73.40
     
   | 
  ms/step | 
     
       
      1.78
     
   | 
|
| stmv | 41.55 sec | 448.57 | 
     
      222.12
     
   | 
  ms/step | 
     
       
      2.02
     
   | 
|
| Octave | Nov 21, 2024, 12:41:59 PM MST | 
                         
                             0.81
                         
                     | 
                ||||
| obench | 60.62 sec | 1.20 | 
     
      1.43
     
   | 
  sec/operation | 
     
       
      0.84
     
   | 
|
| benchmark2 | 12.04 sec | 0.11 | 
     
      0.14
     
   | 
  sec/operation | 
     
       
      0.78
     
   | 
|
| ONNX Inference | Nov 21, 2024, 12:43:58 PM MST | 
                         
                             3.53
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.58 sec | 63.72 | 
     
      21.80
     
   | 
  ms | 
     
       
      2.92
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.20 sec | 18.33 | 
     
      50.99
     
   | 
  inferences/sec | 
     
       
      2.78
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.66 sec | 18.33 | 
     
      52.67
     
   | 
  inferences/sec | 
     
       
      2.87
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.23 sec | 22.37 | 
     
      9.07
     
   | 
  ms | 
     
       
      2.47
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.49 sec | 46.62 | 
     
      151.51
     
   | 
  inferences/sec | 
     
       
      3.25
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.64 sec | 46.62 | 
     
      147.02
     
   | 
  inferences/sec | 
     
       
      3.15
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.19 sec | 58.42 | 
     
      22.62
     
   | 
  ms | 
     
       
      2.58
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.03 sec | 20.87 | 
     
      58.94
     
   | 
  inferences/sec | 
     
       
      2.82
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.40 sec | 20.87 | 
     
      54.42
     
   | 
  inferences/sec | 
     
       
      2.61
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.17 sec | 21.34 | 
     
      12.63
     
   | 
  ms | 
     
       
      1.69
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.56 sec | 55.92 | 
     
      135.62
     
   | 
  inferences/sec | 
     
       
      2.43
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.70 sec | 55.92 | 
     
      110.29
     
   | 
  inferences/sec | 
     
       
      1.97
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.72 sec | 3.92 | 
     
      20.28
     
   | 
  inferences/sec | 
     
       
      5.17
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.89 sec | 1.92 | 
     
      32.04
     
   | 
  inferences/sec | 
     
       
      16.70
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.43 sec | 6.59 | 
     
      21.97
     
   | 
  inferences/sec | 
     
       
      3.33
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.01 sec | 1.92 | 
     
      12.43
     
   | 
  inferences/sec | 
     
       
      6.47
     
   | 
|
| OpenFOAM | Nov 21, 2024, 12:49:33 PM MST | 
                         
                             10.70
                         
                     | 
                ||||
| XiFoam Solver | 108.51 sec | 803.27 | 
     
      92.27
     
   | 
  sec | 
     
       
      8.71
     
   | 
|
| XiFoam Solver | 87.87 sec | 803.27 | 
     
      74.84
     
   | 
  sec | 
     
       
      10.70
     
   | 
|
| Options Pricing | Nov 21, 2024, 12:53:05 PM MST | 
                         
                             2.06
                         
                     | 
                ||||
| Monte Carlo | 13.38 sec | 35137.48 | 
     
      79669.08
     
   | 
  options/sec | 
     
       
      2.27
     
   | 
|
| Black-Scholes | 10.40 sec | 3389.63 | 
     
      7754.68
     
   | 
  Moptions/sec | 
     
       
      2.29
     
   | 
|
| Binomial | 7.98 sec | 79377.62 | 
     
      133733.91
     
   | 
  options/sec | 
     
       
      1.68
     
   | 
|
| Poisson | Nov 21, 2024, 12:53:37 PM MST | 
                         
                             2.24
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.19 sec | 16.05 | 
     
      38.21
     
   | 
  iterations/sec | 
     
       
      2.38
     
   | 
|
| Jacobi Rectangular Grid | 10.10 sec | 16.05 | 
     
      39.07
     
   | 
  iterations/sec | 
     
       
      2.43
     
   | 
|
| Jacobi Square Grid | 10.15 sec | 6.19 | 
     
      12.50
     
   | 
  iterations/sec | 
     
       
      2.02
     
   | 
|
| Jacobi Square Grid | 10.20 sec | 6.19 | 
     
      12.73
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
|
| Python 3 | Nov 21, 2024, 12:54:17 PM MST | 
                         
                             1.21
                         
                     | 
                ||||
| NumPy Create Matrix | 2.24 sec | 0.36 | 
     
      0.48
     
   | 
  sec | 
     
       
      0.75
     
   | 
|
| NumPy Add Matrix | 7.23 sec | 4.44 | 
     
      5.62
     
   | 
  sec | 
     
       
      0.79
     
   | 
|
| NumPy Multiply Matrix | 7.35 sec | 8.06 | 
     
      5.70
     
   | 
  sec | 
     
       
      1.41
     
   | 
|
| NumPy Invert Matrix | 11.67 sec | 15.53 | 
     
      10.04
     
   | 
  sec | 
     
       
      1.55
     
   | 
|
| NumPy Sin Matrix | 4.90 sec | 2.67 | 
     
      3.23
     
   | 
  sec | 
     
       
      0.83
     
   | 
|
| Multi-Matrix | 47.09 sec | 65.50 | 
     
      45.50
     
   | 
  sec | 
     
       
      1.44
     
   | 
|
| Rodinia CFD | Nov 21, 2024, 12:56:15 PM MST | 
                         
                             2.77
                         
                     | 
                ||||
| Pre-Euler | 37.23 sec | 138.14 | 
     
      383.30
     
   | 
  iterations/sec | 
     
       
      2.77
     
   | 
|
| Rodinia Life Sciences | Nov 21, 2024, 12:56:52 PM MST | 
                         
                             2.28
                         
                     | 
                ||||
| Heart Wall | 10.38 sec | 0.69 | 
     
      1.79
     
   | 
  fps | 
     
       
      2.59
     
   | 
|
| HotSpot | 5.03 sec | 8.55 | 
     
      3.57
     
   | 
  sec | 
     
       
      2.40
     
   | 
|
| LavaMD | 14.49 sec | 0.07 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      2.06
     
   | 
|
| SRAD | 10.66 sec | 47.04 | 
     
      98.60
     
   | 
  iterations/sec | 
     
       
      2.10
     
   | 
|
| SRMP | Nov 21, 2024, 12:57:34 PM MST | 
                         
                             2.03
                         
                     | 
                ||||
| 2D | 10.25 sec | 19.45 | 
     
      9.56
     
   | 
  sec | 
     
       
      2.03
     
   | 
|
| Viewport Graphics | Nov 21, 2024, 12:57:44 PM MST | 
                         
                             5.67
                         
                     | 
                ||||
| 3dsmax | 133.64 sec | 15.96 | 
     
      109.13
     
   | 
  fps | 
     
       
      6.84
     
   | 
|
| catia | 147.22 sec | 17.57 | 
     
      74.04
     
   | 
  fps | 
     
       
      4.21
     
   | 
|
| creo | 144.38 sec | 48.42 | 
     
      148.48
     
   | 
  fps | 
     
       
      3.07
     
   | 
|
| energy | 124.65 sec | 11.48 | 
     
      91.62
     
   | 
  fps | 
     
       
      7.98
     
   | 
|
| maya | 105.60 sec | 62.09 | 
     
      323.54
     
   | 
  fps | 
     
       
      5.21
     
   | 
|
| medical | 89.67 sec | 9.63 | 
     
      87.48
     
   | 
  fps | 
     
       
      9.08
     
   | 
|
| solidworks | 79.51 sec | 42.90 | 
     
      241.06
     
   | 
  fps | 
     
       
      5.62
     
   | 
|
| WPCstorage | Nov 21, 2024, 1:12:57 PM MST | 
                         
                             0.87
                         
                     | 
                ||||
| 3dsmax | 68.92 sec | 3299.42 | 
     
      2557.01
     
   | 
  points | 
     
       
      0.78
     
   | 
|
| 7zip | 57.69 sec | 431.06 | 
     
      473.81
     
   | 
  points | 
     
       
      1.10
     
   | 
|
| ccx | 13.29 sec | 1398.45 | 
     
      1340.83
     
   | 
  points | 
     
       
      0.96
     
   | 
|
| cfd | 14.13 sec | 1921.51 | 
     
      1221.21
     
   | 
  points | 
     
       
      0.64
     
   | 
|
| energy | 24.32 sec | 1547.93 | 
     
      1248.10
     
   | 
  points | 
     
       
      0.81
     
   | 
|
| handbrake | 17.86 sec | 1897.99 | 
     
      1578.97
     
   | 
  points | 
     
       
      0.83
     
   | 
|
| icePack | 64.64 sec | 1543.34 | 
     
      1394.17
     
   | 
  points | 
     
       
      0.90
     
   | 
|
| maya | 74.63 sec | 2037.06 | 
     
      1372.20
     
   | 
  points | 
     
       
      0.67
     
   | 
|
| MayaVenice | 37.43 sec | 472.63 | 
     
      407.88
     
   | 
  points | 
     
       
      0.86
     
   | 
|
| MandE | 22.53 sec | 1625.72 | 
     
      1593.56
     
   | 
  points | 
     
       
      0.98
     
   | 
|
| mcad | 69.77 sec | 2612.50 | 
     
      2746.15
     
   | 
  points | 
     
       
      1.05
     
   | 
|
| mozillaVS | 33.61 sec | 7708.43 | 
     
      6645.35
     
   | 
  points | 
     
       
      0.86
     
   | 
|
| namd | 19.06 sec | 1250.61 | 
     
      1236.62
     
   | 
  points | 
     
       
      0.99
     
   | 
|
| proddev | 21.48 sec | 659.82 | 
     
      609.24
     
   | 
  points | 
     
       
      0.92
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 8962Model: HP Z4 G5 Workstation Desktop PC
Version: KBC Version 11.14.00
Manufacturer: HP
Serial Number: PRDXAX5CYGV00H
BIOS: HP U61 Ver. 01.02.08
BIOS Version: HPQOEM - 0 (2024-07-10)
      
      PROCESSOR
    
    CPU #1: Intel(R) Xeon(R) w7-2495X (2496MHz / 24C / 48T)
      
      MEMORY
    
    CPU0 (CPU0-DIMM1): Hynix HMCG94AGBRA179N                (64.00 GB / 4800 MHz / DDR5)CPU0 (CPU0-DIMM3): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)
CPU0 (CPU0-DIMM6): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)
CPU0 (CPU0-DIMM8): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)
Total Memory: 256.00 GB
      
      STORAGE
    
    Disk #1: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (952.74 GB)
Partition 3: GPT: Unknown (0.85 GB)
Disk #2: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)
Partition 1: GPT: Basic Data (953.74 GB)
Available Volumes
C: (Windows ): NTFS (104.29 GB of 952.74 GB Available)
D: (DATADRIVE1): NTFS (359.97 GB of 953.74 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: BC:E9:2F:9A:B2:20 | Speed: 1000.00 Mbit
      
      GRAPHICS
    
    Adapter #1: AMD Radeon PRO W7600Video Memory: 7.98 GB
Current Resolution: 1920x1200 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
        
        DISPLAY
      
      Display #1: HP INC. HP Z24n G3 24.0" (1920x1200)Model: 36C8 | S/N: CN41310MSQ | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1200 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2023-02-10
Free Memory: 239.64 GB (Physical) | 491.01 GB (Virtual) | 256.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Ultimate Performance (e9a42b02-d5df-448d-aa00-03f14749eb61)