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 Z2 Tower G9 Workstation Desktop PC | 
| CPU | Intel(R) Core(TM) i7-14700K | 
| Memory | 64.00 GB @ 4400 MHz | 
| GPU | 1x NVIDIA RTX 4000 Ada Generation 1x Intel(R) UHD Graphics 770  | 
          
| Display | HP ZR2440w 24.0" (1920x1200) | 
          
| Storage | Drive 1: NVMe SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI Drive 2: NVMe SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (22631) | 
Submission Details
| Result Date | Thu Nov 21 2024 12:11:42 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          2.02 | 
Energy  | 
          1.84 | 
Financial Services  | 
          1.35 | 
Life Sciences  | 
          2.19 | 
Media & Entertainment  | 
          2.26 | 
Product Design  | 
          2.13 | 
Productivity & Development  | 
          1.50 | 
Hardware Subsystem Scores
| CPU | 1.62 | 
| Accelerator | 4.83 | 
| Graphics | 7.98 | 
| Storage | 1.11 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.51 | 
| Autodesk Inventor | 1.07 | 
| Blender | 1.96 | 
| Convolution | 1.58 | 
| Data Science | 1.51 | 
| HandBrake | 1.90 | 
| Hidden Line Removal | 1.28 | 
| LAMMPS | 1.60 | 
| LLVM Clang | 1.53 | 
| LuxCoreRender | 1.74 | 
| MFEM | 1.40 | 
| NAMD | 1.52 | 
| Octave | 1.16 | 
| ONNX Inference | 2.72 | 
| OpenFOAM | 6.01 | 
| Options Pricing | 1.35 | 
| Poisson | 1.14 | 
| Python 3 | 1.35 | 
| Rodinia CFD | 2.55 | 
| Rodinia Life Sciences | 1.54 | 
| SRMP | 1.27 | 
| Viewport Graphics | 7.98 | 
| WPCstorage | 1.11 | 
Industry Vertical Scores
| AI & Machine Learning | 2.02 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      104.88
     
   | 
  sec | 
     
       
      1.26
     
   | 
| Scikit-learn | 449.17 | 
     
      311.33
     
   | 
  sec | 
     
       
      1.44
     
   | 
| XGBoost | 91.50 | 
     
      48.64
     
   | 
  sec | 
     
       
      1.88
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      45.83
     
   | 
  ms | 
     
       
      1.39
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      22.67
     
   | 
  inferences/sec | 
     
       
      1.24
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      24.07
     
   | 
  ms | 
     
       
      0.93
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      63.12
     
   | 
  inferences/sec | 
     
       
      1.35
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      46.78
     
   | 
  ms | 
     
       
      1.25
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      30.26
     
   | 
  inferences/sec | 
     
       
      1.45
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      17.83
     
   | 
  ms | 
     
       
      1.20
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      71.69
     
   | 
  inferences/sec | 
     
       
      1.28
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      34.27
     
   | 
  inferences/sec | 
     
       
      8.74
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      68.89
     
   | 
  inferences/sec | 
     
       
      35.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      31.32
     
   | 
  inferences/sec | 
     
       
      4.75
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      35.68
     
   | 
  inferences/sec | 
     
       
      18.60
     
   | 
Industry Vertical Scores
| Energy | 1.84 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      1.58
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      18.30
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.09
     
   | 
  iterations/sec | 
     
       
      1.15
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      15.36
     
   | 
  sec | 
     
       
      1.27
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      122.84
     
   | 
  fps | 
     
       
      10.70
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1318.90
     
   | 
  points | 
     
       
      0.85
     
   | 
Industry Vertical Scores
| Financial Services | 1.35 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      48506.69
     
   | 
  options/sec | 
     
       
      1.38
     
   | 
| Black-Scholes | 3389.63 | 
     
      5031.80
     
   | 
  Moptions/sec | 
     
       
      1.48
     
   | 
| Binomial | 79377.62 | 
     
      95183.50
     
   | 
  options/sec | 
     
       
      1.20
     
   | 
Industry Vertical Scores
| Life Sciences | 2.19 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1241.75
     
   | 
  tau/day | 
     
       
      1.76
     
   | 
| CHAIN | 1190.35 | 
     
      1856.07
     
   | 
  tau/day | 
     
       
      1.56
     
   | 
| EAM | 0.63 | 
     
      1.17
     
   | 
  ns/day | 
     
       
      1.85
     
   | 
| CHUTE | 38.25 | 
     
      45.27
     
   | 
  tau/day | 
     
       
      1.18
     
   | 
| RHODO | 0.26 | 
     
      0.45
     
   | 
  ns/day | 
     
       
      1.73
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      30.33
     
   | 
  ms/step | 
     
       
      1.50
     
   | 
| f1atpase | 130.50 | 
     
      89.02
     
   | 
  ms/step | 
     
       
      1.47
     
   | 
| stmv | 448.57 | 
     
      284.80
     
   | 
  ms/step | 
     
       
      1.58
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.11
     
   | 
  fps | 
     
       
      1.61
     
   | 
| HotSpot | 8.55 | 
     
      4.59
     
   | 
  sec | 
     
       
      1.86
     
   | 
| LavaMD | 0.07 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.64
     
   | 
| SRAD | 47.04 | 
     
      54.69
     
   | 
  iterations/sec | 
     
       
      1.16
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      121.44
     
   | 
  fps | 
     
       
      12.60
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1342.19
     
   | 
  points | 
     
       
      1.07
     
   | 
Industry Vertical Scores
| Media & Entertainment | 2.26 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      56.84
     
   | 
  sec | 
     
       
      4.96
     
   | 
| BMW27 | 43.82 | 
     
      29.53
     
   | 
  sec | 
     
       
      1.48
     
   | 
| BMW1M | 17.74 | 
     
      11.32
     
   | 
  sec | 
     
       
      1.57
     
   | 
| Island | 29.68 | 
     
      22.93
     
   | 
  sec | 
     
       
      1.29
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      122.82
     
   | 
  sec | 
     
       
      1.59
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      29.40
     
   | 
  sec | 
     
       
      1.30
     
   | 
| x265 4K to 4K | 107.73 | 
     
      77.49
     
   | 
  sec | 
     
       
      1.39
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      10.13
     
   | 
  sec | 
     
       
      4.93
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      169.14
     
   | 
  fps | 
     
       
      1.00
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      424.17
     
   | 
  fps | 
     
       
      3.29
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      4.70
     
   | 
  Msamples/sec | 
     
       
      1.91
     
   | 
| Food | 1.84 | 
     
      3.56
     
   | 
  Msamples/sec | 
     
       
      1.93
     
   | 
| Danish Mood | 2.29 | 
     
      3.37
     
   | 
  Msamples/sec | 
     
       
      1.47
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.85
     
   | 
  Msamples/sec | 
     
       
      1.68
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      159.79
     
   | 
  fps | 
     
       
      10.00
     
   | 
| maya | 62.09 | 
     
      435.77
     
   | 
  fps | 
     
       
      7.02
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4079.52
     
   | 
  points | 
     
       
      1.24
     
   | 
| handbrake | 1897.99 | 
     
      2217.34
     
   | 
  points | 
     
       
      1.17
     
   | 
| maya | 2037.06 | 
     
      2250.07
     
   | 
  points | 
     
       
      1.10
     
   | 
| MayaVenice | 472.63 | 
     
      503.13
     
   | 
  points | 
     
       
      1.06
     
   | 
| MandE | 1625.72 | 
     
      1519.92
     
   | 
  points | 
     
       
      0.94
     
   | 
Industry Vertical Scores
| Product Design | 2.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4065.00
     
   | 
  ms | 
     
       
      1.05
     
   | 
| Create/Update Files | 4973.68 | 
     
      4556.00
     
   | 
  ms | 
     
       
      1.09
     
   | 
| Rebuild | 10590.28 | 
     
      9459.00
     
   | 
  ms | 
     
       
      1.12
     
   | 
| Render Style/Material | 628.78 | 
     
      613.00
     
   | 
  ms | 
     
       
      1.03
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      31.18
     
   | 
  fps | 
     
       
      1.28
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      162.46
     
   | 
  sec | 
     
       
      1.40
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      133.60
     
   | 
  sec | 
     
       
      6.01
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      351.90
     
   | 
  iterations/sec | 
     
       
      2.55
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      94.66
     
   | 
  fps | 
     
       
      5.39
     
   | 
| creo | 48.42 | 
     
      230.86
     
   | 
  fps | 
     
       
      4.77
     
   | 
| solidworks | 42.90 | 
     
      362.01
     
   | 
  fps | 
     
       
      8.44
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1836.39
     
   | 
  points | 
     
       
      1.31
     
   | 
| cfd | 1921.51 | 
     
      1767.99
     
   | 
  points | 
     
       
      0.92
     
   | 
| icePack | 1543.34 | 
     
      1574.46
     
   | 
  points | 
     
       
      1.02
     
   | 
| mcad | 2612.50 | 
     
      3900.67
     
   | 
  points | 
     
       
      1.49
     
   | 
| proddev | 659.82 | 
     
      607.33
     
   | 
  points | 
     
       
      0.92
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.50 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.50
     
   | 
  sec | 
     
       
      1.28
     
   | 
| Compression | 254.57 | 
     
      47.04
     
   | 
  sec | 
     
       
      5.41
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      366.93
     
   | 
  sec | 
     
       
      1.53
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.04
     
   | 
  sec/operation | 
     
       
      1.15
     
   | 
| benchmark2 | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.18
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.35
     
   | 
  sec | 
     
       
      1.03
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      3.95
     
   | 
  sec | 
     
       
      1.12
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.48
     
   | 
  sec | 
     
       
      1.24
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      12.59
     
   | 
  sec | 
     
       
      1.23
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.37
     
   | 
  sec | 
     
       
      1.12
     
   | 
| Multi-Matrix | 65.50 | 
     
      41.21
     
   | 
  sec | 
     
       
      1.59
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      525.53
     
   | 
  points | 
     
       
      1.22
     
   | 
| mozillaVS | 7708.43 | 
     
      11042.90
     
   | 
  points | 
     
       
      1.43
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            4.83
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      169.14
     
   | 
  fps | 
     
       
      1.00
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      424.17
     
   | 
  fps | 
     
       
      3.29
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      34.27
     
   | 
  inferences/sec | 
     
       
      8.74
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      68.89
     
   | 
  inferences/sec | 
     
       
      35.90
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      31.32
     
   | 
  inferences/sec | 
     
       
      4.75
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      35.68
     
   | 
  inferences/sec | 
     
       
      18.60
     
   | 
            1.62
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      12.50
     
   | 
  sec | 
     
       
      1.28
     
   | 
| Compression | 254.57 | 
     
      47.04
     
   | 
  sec | 
     
       
      5.41
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4065.00
     
   | 
  ms | 
     
       
      1.05
     
   | 
| Create/Update Files | 4973.68 | 
     
      4556.00
     
   | 
  ms | 
     
       
      1.09
     
   | 
| Rebuild | 10590.28 | 
     
      9459.00
     
   | 
  ms | 
     
       
      1.12
     
   | 
| Render Style/Material | 628.78 | 
     
      613.00
     
   | 
  ms | 
     
       
      1.03
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      56.84
     
   | 
  sec | 
     
       
      4.96
     
   | 
| BMW27 | 43.82 | 
     
      29.53
     
   | 
  sec | 
     
       
      1.48
     
   | 
| BMW1M | 17.74 | 
     
      11.32
     
   | 
  sec | 
     
       
      1.57
     
   | 
| Island | 29.68 | 
     
      22.93
     
   | 
  sec | 
     
       
      1.29
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      1.58
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      104.88
     
   | 
  sec | 
     
       
      1.26
     
   | 
| Scikit-learn | 449.17 | 
     
      311.33
     
   | 
  sec | 
     
       
      1.44
     
   | 
| XGBoost | 91.50 | 
     
      48.64
     
   | 
  sec | 
     
       
      1.88
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      122.82
     
   | 
  sec | 
     
       
      1.59
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      29.40
     
   | 
  sec | 
     
       
      1.30
     
   | 
| x265 4K to 4K | 107.73 | 
     
      77.49
     
   | 
  sec | 
     
       
      1.39
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      10.13
     
   | 
  sec | 
     
       
      4.93
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      31.18
     
   | 
  fps | 
     
       
      1.28
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      1241.75
     
   | 
  tau/day | 
     
       
      1.76
     
   | 
| CHAIN | 1190.35 | 
     
      1856.07
     
   | 
  tau/day | 
     
       
      1.56
     
   | 
| EAM | 0.63 | 
     
      1.17
     
   | 
  ns/day | 
     
       
      1.85
     
   | 
| CHUTE | 38.25 | 
     
      45.27
     
   | 
  tau/day | 
     
       
      1.18
     
   | 
| RHODO | 0.26 | 
     
      0.45
     
   | 
  ns/day | 
     
       
      1.73
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      366.93
     
   | 
  sec | 
     
       
      1.53
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      4.70
     
   | 
  Msamples/sec | 
     
       
      1.91
     
   | 
| Food | 1.84 | 
     
      3.56
     
   | 
  Msamples/sec | 
     
       
      1.93
     
   | 
| Danish Mood | 2.29 | 
     
      3.37
     
   | 
  Msamples/sec | 
     
       
      1.47
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.85
     
   | 
  Msamples/sec | 
     
       
      1.68
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      162.46
     
   | 
  sec | 
     
       
      1.40
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      30.33
     
   | 
  ms/step | 
     
       
      1.50
     
   | 
| f1atpase | 130.50 | 
     
      89.02
     
   | 
  ms/step | 
     
       
      1.47
     
   | 
| stmv | 448.57 | 
     
      284.80
     
   | 
  ms/step | 
     
       
      1.58
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.04
     
   | 
  sec/operation | 
     
       
      1.15
     
   | 
| benchmark2 | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.18
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      45.83
     
   | 
  ms | 
     
       
      1.39
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      22.67
     
   | 
  inferences/sec | 
     
       
      1.24
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      24.07
     
   | 
  ms | 
     
       
      0.93
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      63.12
     
   | 
  inferences/sec | 
     
       
      1.35
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      46.78
     
   | 
  ms | 
     
       
      1.25
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      30.26
     
   | 
  inferences/sec | 
     
       
      1.45
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      17.83
     
   | 
  ms | 
     
       
      1.20
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      71.69
     
   | 
  inferences/sec | 
     
       
      1.28
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      133.60
     
   | 
  sec | 
     
       
      6.01
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      48506.69
     
   | 
  options/sec | 
     
       
      1.38
     
   | 
| Black-Scholes | 3389.63 | 
     
      5031.80
     
   | 
  Moptions/sec | 
     
       
      1.48
     
   | 
| Binomial | 79377.62 | 
     
      95183.50
     
   | 
  options/sec | 
     
       
      1.20
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      18.30
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.09
     
   | 
  iterations/sec | 
     
       
      1.15
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.35
     
   | 
  sec | 
     
       
      1.03
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      3.95
     
   | 
  sec | 
     
       
      1.12
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.48
     
   | 
  sec | 
     
       
      1.24
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      12.59
     
   | 
  sec | 
     
       
      1.23
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.37
     
   | 
  sec | 
     
       
      1.12
     
   | 
| Multi-Matrix | 65.50 | 
     
      41.21
     
   | 
  sec | 
     
       
      1.59
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      351.90
     
   | 
  iterations/sec | 
     
       
      2.55
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      1.11
     
   | 
  fps | 
     
       
      1.61
     
   | 
| HotSpot | 8.55 | 
     
      4.59
     
   | 
  sec | 
     
       
      1.86
     
   | 
| LavaMD | 0.07 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.64
     
   | 
| SRAD | 47.04 | 
     
      54.69
     
   | 
  iterations/sec | 
     
       
      1.16
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      15.36
     
   | 
  sec | 
     
       
      1.27
     
   | 
            7.98
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      159.79
     
   | 
  fps | 
     
       
      10.00
     
   | 
| catia | 17.57 | 
     
      94.66
     
   | 
  fps | 
     
       
      5.39
     
   | 
| creo | 48.42 | 
     
      230.86
     
   | 
  fps | 
     
       
      4.77
     
   | 
| energy | 11.48 | 
     
      122.84
     
   | 
  fps | 
     
       
      10.70
     
   | 
| maya | 62.09 | 
     
      435.77
     
   | 
  fps | 
     
       
      7.02
     
   | 
| medical | 9.63 | 
     
      121.44
     
   | 
  fps | 
     
       
      12.60
     
   | 
| solidworks | 42.90 | 
     
      362.01
     
   | 
  fps | 
     
       
      8.44
     
   | 
            1.11
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4079.52
     
   | 
  points | 
     
       
      1.24
     
   | 
| 7zip | 431.06 | 
     
      525.53
     
   | 
  points | 
     
       
      1.22
     
   | 
| ccx | 1398.45 | 
     
      1836.39
     
   | 
  points | 
     
       
      1.31
     
   | 
| cfd | 1921.51 | 
     
      1767.99
     
   | 
  points | 
     
       
      0.92
     
   | 
| energy | 1547.93 | 
     
      1318.90
     
   | 
  points | 
     
       
      0.85
     
   | 
| handbrake | 1897.99 | 
     
      2217.34
     
   | 
  points | 
     
       
      1.17
     
   | 
| icePack | 1543.34 | 
     
      1574.46
     
   | 
  points | 
     
       
      1.02
     
   | 
| maya | 2037.06 | 
     
      2250.07
     
   | 
  points | 
     
       
      1.10
     
   | 
| MayaVenice | 472.63 | 
     
      503.13
     
   | 
  points | 
     
       
      1.06
     
   | 
| MandE | 1625.72 | 
     
      1519.92
     
   | 
  points | 
     
       
      0.94
     
   | 
| mcad | 2612.50 | 
     
      3900.67
     
   | 
  points | 
     
       
      1.49
     
   | 
| mozillaVS | 7708.43 | 
     
      11042.90
     
   | 
  points | 
     
       
      1.43
     
   | 
| namd | 1250.61 | 
     
      1342.19
     
   | 
  points | 
     
       
      1.07
     
   | 
| proddev | 659.82 | 
     
      607.33
     
   | 
  points | 
     
       
      0.92
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 21, 2024, 12:11:42 PM PST | 
                         
                             3.51
                         
                     | 
                ||||
| Decompression | 12.50 sec | 16.04 | 
     
      12.50
     
   | 
  sec | 
     
       
      1.28
     
   | 
|
| Compression | 47.04 sec | 254.57 | 
     
      47.04
     
   | 
  sec | 
     
       
      5.41
     
   | 
|
| Autodesk Inventor | Nov 21, 2024, 12:12:46 PM PST | 
                         
                             1.07
                         
                     | 
                ||||
| Open Document | 4.24 sec | 4253.73 | 
     
      4065.00
     
   | 
  ms | 
     
       
      1.05
     
   | 
|
| Create/Update Files | 6.26 sec | 4973.68 | 
     
      4556.00
     
   | 
  ms | 
     
       
      1.09
     
   | 
|
| Rebuild | 9.63 sec | 10590.28 | 
     
      9459.00
     
   | 
  ms | 
     
       
      1.12
     
   | 
|
| Render Style/Material | 0.78 sec | 628.78 | 
     
      613.00
     
   | 
  ms | 
     
       
      1.03
     
   | 
|
| Blender | Nov 21, 2024, 12:13:43 PM PST | 
                         
                             1.96
                         
                     | 
                ||||
| Classroom | 56.84 sec | 281.72 | 
     
      56.84
     
   | 
  sec | 
     
       
      4.96
     
   | 
|
| BMW27 | 29.53 sec | 43.82 | 
     
      29.53
     
   | 
  sec | 
     
       
      1.48
     
   | 
|
| BMW1M | 11.32 sec | 17.74 | 
     
      11.32
     
   | 
  sec | 
     
       
      1.57
     
   | 
|
| Island | 22.93 sec | 29.68 | 
     
      22.93
     
   | 
  sec | 
     
       
      1.29
     
   | 
|
| Convolution | Nov 21, 2024, 12:15:48 PM PST | 
                         
                             1.58
                         
                     | 
                ||||
| 20K/100 | 36.58 sec | 0.09 | 
     
      0.14
     
   | 
  iterations/sec | 
     
       
      1.58
     
   | 
|
| Data Science | Nov 21, 2024, 12:16:24 PM PST | 
                         
                             1.51
                         
                     | 
                ||||
| Pandas | 213.84 sec | 131.99 | 
     
      104.88
     
   | 
  sec | 
     
       
      1.26
     
   | 
|
| Scikit-learn | 315.36 sec | 449.17 | 
     
      311.33
     
   | 
  sec | 
     
       
      1.44
     
   | 
|
| XGBoost | 68.35 sec | 91.50 | 
     
      48.64
     
   | 
  sec | 
     
       
      1.88
     
   | 
|
| HandBrake | Nov 21, 2024, 12:26:34 PM PST | 
                         
                             1.90
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 122.82 sec | 195.16 | 
     
      122.82
     
   | 
  sec | 
     
       
      1.59
     
   | 
|
| x265 4K to 1080p | 31.14 sec | 38.36 | 
     
      29.40
     
   | 
  sec | 
     
       
      1.30
     
   | 
|
| x265 4K to 4K | 79.22 sec | 107.73 | 
     
      77.49
     
   | 
  sec | 
     
       
      1.39
     
   | 
|
| x264 1080p to 1080p | 10.13 sec | 49.98 | 
     
      10.13
     
   | 
  sec | 
     
       
      4.93
     
   | 
|
| GPU H.265 4K to 4K | 51.59 sec | 169.65 | 
     
      130.42
     
   | 
  fps | 
     
       
      0.77
     
   | 
|
| GPU H.265 4K to 4K | 46.39 sec | 169.65 | 
     
      169.14
     
   | 
  fps | 
     
       
      1.00
     
   | 
|
| GPU H.265 4K to 1080p | 179.45 sec | 128.84 | 
     
      424.17
     
   | 
  fps | 
     
       
      3.29
     
   | 
|
| GPU H.265 4K to 1080p | 209.11 sec | 128.84 | 
     
      203.62
     
   | 
  fps | 
     
       
      1.58
     
   | 
|
| Hidden Line Removal | Nov 21, 2024, 12:38:50 PM PST | 
                         
                             1.28
                         
                     | 
                ||||
| Palatov | 16.65 sec | 24.29 | 
     
      31.18
     
   | 
  fps | 
     
       
      1.28
     
   | 
|
| Palatov | 16.74 sec | 24.29 | 
     
      29.91
     
   | 
  fps | 
     
       
      1.23
     
   | 
|
| LAMMPS | Nov 21, 2024, 12:39:25 PM PST | 
                         
                             1.60
                         
                     | 
                ||||
| LJ | 12.60 sec | 705.82 | 
     
      1241.75
     
   | 
  tau/day | 
     
       
      1.76
     
   | 
|
| CHAIN | 12.95 sec | 1190.35 | 
     
      1856.07
     
   | 
  tau/day | 
     
       
      1.56
     
   | 
|
| EAM | 12.15 sec | 0.63 | 
     
      1.17
     
   | 
  ns/day | 
     
       
      1.85
     
   | 
|
| CHUTE | 9.07 sec | 38.25 | 
     
      45.27
     
   | 
  tau/day | 
     
       
      1.18
     
   | 
|
| RHODO | 6.31 sec | 0.26 | 
     
      0.45
     
   | 
  ns/day | 
     
       
      1.73
     
   | 
|
| LLVM Clang | Nov 21, 2024, 12:40:18 PM PST | 
                         
                             1.53
                         
                     | 
                ||||
| PyTorch | 384.28 sec | 562.76 | 
     
      366.93
     
   | 
  sec | 
     
       
      1.53
     
   | 
|
| LuxCoreRender | Nov 21, 2024, 12:47:30 PM PST | 
                         
                             1.74
                         
                     | 
                ||||
| DLSC | 11.54 sec | 2.46 | 
     
      4.70
     
   | 
  Msamples/sec | 
     
       
      1.91
     
   | 
|
| Food | 16.22 sec | 1.84 | 
     
      3.56
     
   | 
  Msamples/sec | 
     
       
      1.93
     
   | 
|
| Danish Mood | 45.28 sec | 2.29 | 
     
      3.37
     
   | 
  Msamples/sec | 
     
       
      1.47
     
   | 
|
| Procedural Leaves | 29.88 sec | 1.10 | 
     
      1.85
     
   | 
  Msamples/sec | 
     
       
      1.68
     
   | 
|
| MFEM | Nov 21, 2024, 12:49:14 PM PST | 
                         
                             1.40
                         
                     | 
                ||||
| Dynamic AMR | 162.46 sec | 227.39 | 
     
      162.46
     
   | 
  sec | 
     
       
      1.40
     
   | 
|
| NAMD | Nov 21, 2024, 12:51:56 PM PST | 
                         
                             1.52
                         
                     | 
                ||||
| apoa1 | 12.45 sec | 45.38 | 
     
      30.33
     
   | 
  ms/step | 
     
       
      1.50
     
   | 
|
| f1atpase | 19.08 sec | 130.50 | 
     
      89.02
     
   | 
  ms/step | 
     
       
      1.47
     
   | 
|
| stmv | 36.30 sec | 448.57 | 
     
      284.80
     
   | 
  ms/step | 
     
       
      1.58
     
   | 
|
| Octave | Nov 21, 2024, 12:53:04 PM PST | 
                         
                             1.16
                         
                     | 
                ||||
| obench | 33.95 sec | 1.20 | 
     
      1.04
     
   | 
  sec/operation | 
     
       
      1.15
     
   | 
|
| benchmark2 | 10.92 sec | 0.11 | 
     
      0.09
     
   | 
  sec/operation | 
     
       
      1.18
     
   | 
|
| ONNX Inference | Nov 21, 2024, 12:53:57 PM PST | 
                         
                             2.72
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.36 sec | 63.72 | 
     
      45.83
     
   | 
  ms | 
     
       
      1.39
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.20 sec | 18.33 | 
     
      22.67
     
   | 
  inferences/sec | 
     
       
      1.24
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.66 sec | 18.33 | 
     
      21.71
     
   | 
  inferences/sec | 
     
       
      1.18
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.14 sec | 22.37 | 
     
      24.07
     
   | 
  ms | 
     
       
      0.93
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.54 sec | 46.62 | 
     
      47.77
     
   | 
  inferences/sec | 
     
       
      1.02
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.62 sec | 46.62 | 
     
      63.12
     
   | 
  inferences/sec | 
     
       
      1.35
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 | 
     
      46.78
     
   | 
  ms | 
     
       
      1.25
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.83 sec | 20.87 | 
     
      30.26
     
   | 
  inferences/sec | 
     
       
      1.45
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.44 sec | 20.87 | 
     
      20.12
     
   | 
  inferences/sec | 
     
       
      0.96
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 | 
     
      17.83
     
   | 
  ms | 
     
       
      1.20
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.41 sec | 55.92 | 
     
      71.69
     
   | 
  inferences/sec | 
     
       
      1.28
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.54 sec | 55.92 | 
     
      63.86
     
   | 
  inferences/sec | 
     
       
      1.14
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.58 sec | 3.92 | 
     
      34.27
     
   | 
  inferences/sec | 
     
       
      8.74
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.53 sec | 3.92 | 
     
      33.73
     
   | 
  inferences/sec | 
     
       
      8.60
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.50 sec | 1.92 | 
     
      68.89
     
   | 
  inferences/sec | 
     
       
      35.90
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.52 sec | 1.92 | 
     
      68.32
     
   | 
  inferences/sec | 
     
       
      35.60
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.33 sec | 6.59 | 
     
      31.27
     
   | 
  inferences/sec | 
     
       
      4.74
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.29 sec | 6.59 | 
     
      31.32
     
   | 
  inferences/sec | 
     
       
      4.75
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.32 sec | 1.92 | 
     
      35.68
     
   | 
  inferences/sec | 
     
       
      18.60
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.35 sec | 1.92 | 
     
      35.55
     
   | 
  inferences/sec | 
     
       
      18.50
     
   | 
|
| OpenFOAM | Nov 21, 2024, 1:00:54 PM PST | 
                         
                             6.01
                         
                     | 
                ||||
| XiFoam Solver | 146.03 sec | 803.27 | 
     
      135.60
     
   | 
  sec | 
     
       
      5.92
     
   | 
|
| XiFoam Solver | 143.12 sec | 803.27 | 
     
      133.60
     
   | 
  sec | 
     
       
      6.01
     
   | 
|
| Options Pricing | Nov 21, 2024, 1:05:46 PM PST | 
                         
                             1.35
                         
                     | 
                ||||
| Monte Carlo | 21.69 sec | 35137.48 | 
     
      48506.69
     
   | 
  options/sec | 
     
       
      1.38
     
   | 
|
| Black-Scholes | 14.41 sec | 3389.63 | 
     
      5031.80
     
   | 
  Moptions/sec | 
     
       
      1.48
     
   | 
|
| Binomial | 11.08 sec | 79377.62 | 
     
      95183.50
     
   | 
  options/sec | 
     
       
      1.20
     
   | 
|
| Poisson | Nov 21, 2024, 1:06:34 PM PST | 
                         
                             1.14
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.22 sec | 16.05 | 
     
      17.44
     
   | 
  iterations/sec | 
     
       
      1.09
     
   | 
|
| Jacobi Rectangular Grid | 10.13 sec | 16.05 | 
     
      18.30
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
|
| Jacobi Square Grid | 10.18 sec | 6.19 | 
     
      7.09
     
   | 
  iterations/sec | 
     
       
      1.15
     
   | 
|
| Jacobi Square Grid | 10.11 sec | 6.19 | 
     
      7.04
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
|
| Python 3 | Nov 21, 2024, 1:07:14 PM PST | 
                         
                             1.35
                         
                     | 
                ||||
| NumPy Create Matrix | 14.65 sec | 0.36 | 
     
      0.35
     
   | 
  sec | 
     
       
      1.03
     
   | 
|
| NumPy Add Matrix | 4.68 sec | 4.44 | 
     
      3.95
     
   | 
  sec | 
     
       
      1.12
     
   | 
|
| NumPy Multiply Matrix | 7.20 sec | 8.06 | 
     
      6.48
     
   | 
  sec | 
     
       
      1.24
     
   | 
|
| NumPy Invert Matrix | 13.32 sec | 15.53 | 
     
      12.59
     
   | 
  sec | 
     
       
      1.23
     
   | 
|
| NumPy Sin Matrix | 3.10 sec | 2.67 | 
     
      2.37
     
   | 
  sec | 
     
       
      1.12
     
   | 
|
| Multi-Matrix | 41.91 sec | 65.50 | 
     
      41.21
     
   | 
  sec | 
     
       
      1.59
     
   | 
|
| Rodinia CFD | Nov 21, 2024, 1:08:50 PM PST | 
                         
                             2.55
                         
                     | 
                ||||
| Pre-Euler | 32.74 sec | 138.14 | 
     
      351.90
     
   | 
  iterations/sec | 
     
       
      2.55
     
   | 
|
| Rodinia Life Sciences | Nov 21, 2024, 1:09:23 PM PST | 
                         
                             1.54
                         
                     | 
                ||||
| Heart Wall | 10.95 sec | 0.69 | 
     
      1.11
     
   | 
  fps | 
     
       
      1.61
     
   | 
|
| HotSpot | 5.61 sec | 8.55 | 
     
      4.59
     
   | 
  sec | 
     
       
      1.86
     
   | 
|
| LavaMD | 17.76 sec | 0.07 | 
     
      0.12
     
   | 
  iterations/sec | 
     
       
      1.64
     
   | 
|
| SRAD | 10.22 sec | 47.04 | 
     
      54.69
     
   | 
  iterations/sec | 
     
       
      1.16
     
   | 
|
| SRMP | Nov 21, 2024, 1:10:08 PM PST | 
                         
                             1.27
                         
                     | 
                ||||
| 2D | 15.73 sec | 19.45 | 
     
      15.36
     
   | 
  sec | 
     
       
      1.27
     
   | 
|
| Viewport Graphics | Nov 21, 2024, 1:10:24 PM PST | 
                         
                             7.98
                         
                     | 
                ||||
| 3dsmax | 129.28 sec | 15.96 | 
     
      159.79
     
   | 
  fps | 
     
       
      10.00
     
   | 
|
| catia | 134.09 sec | 17.57 | 
     
      94.66
     
   | 
  fps | 
     
       
      5.39
     
   | 
|
| creo | 154.88 sec | 48.42 | 
     
      230.86
     
   | 
  fps | 
     
       
      4.77
     
   | 
|
| energy | 82.30 sec | 11.48 | 
     
      122.84
     
   | 
  fps | 
     
       
      10.70
     
   | 
|
| maya | 99.52 sec | 62.09 | 
     
      435.77
     
   | 
  fps | 
     
       
      7.02
     
   | 
|
| medical | 73.41 sec | 9.63 | 
     
      121.44
     
   | 
  fps | 
     
       
      12.60
     
   | 
|
| solidworks | 79.10 sec | 42.90 | 
     
      362.01
     
   | 
  fps | 
     
       
      8.44
     
   | 
|
| WPCstorage | Nov 21, 2024, 1:23:51 PM PST | 
                         
                             1.11
                         
                     | 
                ||||
| 3dsmax | 53.38 sec | 3299.42 | 
     
      4079.52
     
   | 
  points | 
     
       
      1.24
     
   | 
|
| 7zip | 55.47 sec | 431.06 | 
     
      525.53
     
   | 
  points | 
     
       
      1.22
     
   | 
|
| ccx | 12.45 sec | 1398.45 | 
     
      1836.39
     
   | 
  points | 
     
       
      1.31
     
   | 
|
| cfd | 13.07 sec | 1921.51 | 
     
      1767.99
     
   | 
  points | 
     
       
      0.92
     
   | 
|
| energy | 22.88 sec | 1547.93 | 
     
      1318.90
     
   | 
  points | 
     
       
      0.85
     
   | 
|
| handbrake | 16.40 sec | 1897.99 | 
     
      2217.34
     
   | 
  points | 
     
       
      1.17
     
   | 
|
| icePack | 57.70 sec | 1543.34 | 
     
      1574.46
     
   | 
  points | 
     
       
      1.02
     
   | 
|
| maya | 54.01 sec | 2037.06 | 
     
      2250.07
     
   | 
  points | 
     
       
      1.10
     
   | 
|
| MayaVenice | 32.05 sec | 472.63 | 
     
      503.13
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| MandE | 21.82 sec | 1625.72 | 
     
      1519.92
     
   | 
  points | 
     
       
      0.94
     
   | 
|
| mcad | 56.42 sec | 2612.50 | 
     
      3900.67
     
   | 
  points | 
     
       
      1.49
     
   | 
|
| mozillaVS | 28.52 sec | 7708.43 | 
     
      11042.90
     
   | 
  points | 
     
       
      1.43
     
   | 
|
| namd | 17.51 sec | 1250.61 | 
     
      1342.19
     
   | 
  points | 
     
       
      1.07
     
   | 
|
| proddev | 19.44 sec | 659.82 | 
     
      607.33
     
   | 
  points | 
     
       
      0.92
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 895CModel: HP Z2 Tower G9 Workstation Desktop PC
Version: KBC Version 12.03.27
Manufacturer: HP
Serial Number: PQRHPX2CYH001Z
BIOS: HP U50 Ver. 03.03.04
BIOS Version: HPQOEM - 0 (2024-09-02)
      
      PROCESSOR
    
    CPU #1: Intel(R) Core(TM) i7-14700K (3400MHz / 20C / 28T)
      
      MEMORY
    
    Controller1ChannelBDimm1 (DIMM1): Micron MTC16C2085S1UC48BA1  (32.00 GB / 4400 MHz / DDR5)Controller0ChannelADimm1 (DIMM3): Micron MTC16C2085S1UC48BA1 (32.00 GB / 4400 MHz / DDR5)
Total Memory: 64.00 GB
      
      STORAGE
    
    Disk #1: NVMe 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)
Disk #2: NVMe SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)
Partition 1: GPT: Basic Data (953.74 GB)
Available Volumes
C: (Windows): NTFS (836.28 GB of 952.73 GB Available)
D: (DATADRIVE1): NTFS (908.82 GB of 953.74 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: BC:E9:2F:9A:B3:B4 | Speed: 1000.00 Mbit
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 4000 Ada GenerationVideo Memory: 20.00 GB
Current Resolution: 1920x1200 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5274 (2024-06-23)
Adapter #2: Intel(R) UHD Graphics 770
Video Memory: 31.98 GB
Current Resolution: Unknown
Driver Version: 32.0.101.5972 (2024-08-18)
        
        DISPLAY
      
      Display #1: HEWLETT PACKARD HP ZR2440w 24.0" (1920x1200)Model: 2954 | S/N: CN42210309 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1200 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-24
Free Memory: 57.34 GB (Physical) | 59.54 GB (Virtual) | 4.00 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)