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 ZBook Power 16 inch G11 A Mobile Workstation PC | 
| CPU | AMD Ryzen 9 PRO 8945HS w/ Radeon 780M Graphics | 
| Memory | 64.00 GB @ 5600 MHz | 
| GPU | 1x NVIDIA RTX 3000 Ada Generation Laptop GPU 1x AMD Radeon(TM) Graphics  | 
          
| Display | Internal Display 16.3" (1920x1200) | 
          
| Storage | SAMSUNG MZVL22T0HBLB-00BH1 1907.73 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (22631) | 
Submission Details
| Result Date | Thu Nov 21 2024 10:51:42 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          1.46 | 
Energy  | 
          1.28 | 
Financial Services  | 
          0.92 | 
Life Sciences  | 
          1.43 | 
Media & Entertainment  | 
          1.35 | 
Product Design  | 
          1.41 | 
Productivity & Development  | 
          1.07 | 
Hardware Subsystem Scores
| CPU | 1.05 | 
| Accelerator | 3.26 | 
| Graphics | 4.71 | 
| Storage | 0.91 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 2.35 | 
| Autodesk Inventor | 0.94 | 
| Blender | 1.15 | 
| Convolution | 0.85 | 
| Data Science | 1.09 | 
| HandBrake | 1.05 | 
| Hidden Line Removal | 0.92 | 
| LAMMPS | 1.02 | 
| LLVM Clang | 0.79 | 
| LuxCoreRender | 0.92 | 
| MFEM | 0.88 | 
| NAMD | 0.82 | 
| Octave | 1.16 | 
| ONNX Inference | 1.95 | 
| OpenFOAM | 4.37 | 
| Options Pricing | 0.93 | 
| Poisson | 1.13 | 
| Python 3 | 0.88 | 
| Rodinia CFD | 1.04 | 
| Rodinia Life Sciences | 0.84 | 
| SRMP | 0.77 | 
| Viewport Graphics | 4.71 | 
| WPCstorage | 0.91 | 
Industry Vertical Scores
| AI & Machine Learning | 1.46 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      126.57
     
   | 
  sec | 
     
       
      1.04
     
   | 
| Scikit-learn | 449.17 | 
     
      501.60
     
   | 
  sec | 
     
       
      0.90
     
   | 
| XGBoost | 91.50 | 
     
      65.32
     
   | 
  sec | 
     
       
      1.40
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      69.50
     
   | 
  ms | 
     
       
      0.92
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      14.24
     
   | 
  inferences/sec | 
     
       
      0.78
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      22.04
     
   | 
  ms | 
     
       
      1.01
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      47.84
     
   | 
  inferences/sec | 
     
       
      1.03
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      59.81
     
   | 
  ms | 
     
       
      0.98
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      18.75
     
   | 
  inferences/sec | 
     
       
      0.90
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      23.34
     
   | 
  ms | 
     
       
      0.91
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      51.67
     
   | 
  inferences/sec | 
     
       
      0.92
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      18.52
     
   | 
  inferences/sec | 
     
       
      4.72
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      40.51
     
   | 
  inferences/sec | 
     
       
      21.10
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      24.82
     
   | 
  inferences/sec | 
     
       
      3.77
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      27.79
     
   | 
  inferences/sec | 
     
       
      14.50
     
   | 
Industry Vertical Scores
| Energy | 1.28 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.08
     
   | 
  iterations/sec | 
     
       
      0.85
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      18.11
     
   | 
  iterations/sec | 
     
       
      1.13
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.08
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      25.14
     
   | 
  sec | 
     
       
      0.77
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      73.91
     
   | 
  fps | 
     
       
      6.44
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1119.54
     
   | 
  points | 
     
       
      0.72
     
   | 
Industry Vertical Scores
| Financial Services | 0.92 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      36451.07
     
   | 
  options/sec | 
     
       
      1.04
     
   | 
| Black-Scholes | 3389.63 | 
     
      3316.23
     
   | 
  Moptions/sec | 
     
       
      0.98
     
   | 
| Binomial | 79377.62 | 
     
      61793.50
     
   | 
  options/sec | 
     
       
      0.78
     
   | 
Industry Vertical Scores
| Life Sciences | 1.43 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      782.36
     
   | 
  tau/day | 
     
       
      1.11
     
   | 
| CHAIN | 1190.35 | 
     
      1342.27
     
   | 
  tau/day | 
     
       
      1.13
     
   | 
| EAM | 0.63 | 
     
      0.66
     
   | 
  ns/day | 
     
       
      1.04
     
   | 
| CHUTE | 38.25 | 
     
      36.19
     
   | 
  tau/day | 
     
       
      0.95
     
   | 
| RHODO | 0.26 | 
     
      0.24
     
   | 
  ns/day | 
     
       
      0.92
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      54.65
     
   | 
  ms/step | 
     
       
      0.83
     
   | 
| f1atpase | 130.50 | 
     
      164.51
     
   | 
  ms/step | 
     
       
      0.79
     
   | 
| stmv | 448.57 | 
     
      532.74
     
   | 
  ms/step | 
     
       
      0.84
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.67
     
   | 
  fps | 
     
       
      0.96
     
   | 
| HotSpot | 8.55 | 
     
      16.45
     
   | 
  sec | 
     
       
      0.52
     
   | 
| LavaMD | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      1.00
     
   | 
| SRAD | 47.04 | 
     
      46.92
     
   | 
  iterations/sec | 
     
       
      1.00
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      84.68
     
   | 
  fps | 
     
       
      8.79
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1182.26
     
   | 
  points | 
     
       
      0.94
     
   | 
Industry Vertical Scores
| Media & Entertainment | 1.35 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      109.19
     
   | 
  sec | 
     
       
      2.58
     
   | 
| BMW27 | 43.82 | 
     
      50.19
     
   | 
  sec | 
     
       
      0.87
     
   | 
| BMW1M | 17.74 | 
     
      19.00
     
   | 
  sec | 
     
       
      0.93
     
   | 
| Island | 29.68 | 
     
      36.00
     
   | 
  sec | 
     
       
      0.82
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      242.55
     
   | 
  sec | 
     
       
      0.81
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      50.20
     
   | 
  sec | 
     
       
      0.76
     
   | 
| x265 4K to 4K | 107.73 | 
     
      174.91
     
   | 
  sec | 
     
       
      0.62
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      21.75
     
   | 
  sec | 
     
       
      2.30
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      155.24
     
   | 
  fps | 
     
       
      0.92
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      216.95
     
   | 
  fps | 
     
       
      1.68
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      2.36
     
   | 
  Msamples/sec | 
     
       
      0.96
     
   | 
| Food | 1.84 | 
     
      1.76
     
   | 
  Msamples/sec | 
     
       
      0.96
     
   | 
| Danish Mood | 2.29 | 
     
      1.88
     
   | 
  Msamples/sec | 
     
       
      0.82
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.04
     
   | 
  Msamples/sec | 
     
       
      0.94
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      76.64
     
   | 
  fps | 
     
       
      4.80
     
   | 
| maya | 62.09 | 
     
      249.49
     
   | 
  fps | 
     
       
      4.02
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3496.77
     
   | 
  points | 
     
       
      1.06
     
   | 
| handbrake | 1897.99 | 
     
      2018.47
     
   | 
  points | 
     
       
      1.06
     
   | 
| maya | 2037.06 | 
     
      1753.70
     
   | 
  points | 
     
       
      0.86
     
   | 
| MayaVenice | 472.63 | 
     
      385.81
     
   | 
  points | 
     
       
      0.82
     
   | 
| MandE | 1625.72 | 
     
      1388.44
     
   | 
  points | 
     
       
      0.85
     
   | 
Industry Vertical Scores
| Product Design | 1.41 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4646.00
     
   | 
  ms | 
     
       
      0.92
     
   | 
| Create/Update Files | 4973.68 | 
     
      5313.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Rebuild | 10590.28 | 
     
      10657.00
     
   | 
  ms | 
     
       
      0.99
     
   | 
| Render Style/Material | 628.78 | 
     
      673.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      22.36
     
   | 
  fps | 
     
       
      0.92
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      259.18
     
   | 
  sec | 
     
       
      0.88
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      183.78
     
   | 
  sec | 
     
       
      4.37
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      143.10
     
   | 
  iterations/sec | 
     
       
      1.04
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      62.09
     
   | 
  fps | 
     
       
      3.53
     
   | 
| creo | 48.42 | 
     
      134.54
     
   | 
  fps | 
     
       
      2.78
     
   | 
| solidworks | 42.90 | 
     
      206.70
     
   | 
  fps | 
     
       
      4.82
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1654.05
     
   | 
  points | 
     
       
      1.18
     
   | 
| cfd | 1921.51 | 
     
      1375.70
     
   | 
  points | 
     
       
      0.72
     
   | 
| icePack | 1543.34 | 
     
      1295.89
     
   | 
  points | 
     
       
      0.84
     
   | 
| mcad | 2612.50 | 
     
      3250.83
     
   | 
  points | 
     
       
      1.24
     
   | 
| proddev | 659.82 | 
     
      452.78
     
   | 
  points | 
     
       
      0.69
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.07 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      17.48
     
   | 
  sec | 
     
       
      0.92
     
   | 
| Compression | 254.57 | 
     
      72.31
     
   | 
  sec | 
     
       
      3.52
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      714.83
     
   | 
  sec | 
     
       
      0.79
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.01
     
   | 
  sec/operation | 
     
       
      1.19
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.13
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.33
     
   | 
  sec | 
     
       
      1.09
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.77
     
   | 
  sec | 
     
       
      0.93
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      10.47
     
   | 
  sec | 
     
       
      0.77
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      20.22
     
   | 
  sec | 
     
       
      0.77
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.80
     
   | 
  sec | 
     
       
      0.95
     
   | 
| Multi-Matrix | 65.50 | 
     
      76.14
     
   | 
  sec | 
     
       
      0.86
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      498.45
     
   | 
  points | 
     
       
      1.16
     
   | 
| mozillaVS | 7708.43 | 
     
      6412.59
     
   | 
  points | 
     
       
      0.83
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            3.26
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      155.24
     
   | 
  fps | 
     
       
      0.92
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      216.95
     
   | 
  fps | 
     
       
      1.68
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      18.52
     
   | 
  inferences/sec | 
     
       
      4.72
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      40.51
     
   | 
  inferences/sec | 
     
       
      21.10
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      24.82
     
   | 
  inferences/sec | 
     
       
      3.77
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      27.79
     
   | 
  inferences/sec | 
     
       
      14.50
     
   | 
            1.05
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      17.48
     
   | 
  sec | 
     
       
      0.92
     
   | 
| Compression | 254.57 | 
     
      72.31
     
   | 
  sec | 
     
       
      3.52
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4646.00
     
   | 
  ms | 
     
       
      0.92
     
   | 
| Create/Update Files | 4973.68 | 
     
      5313.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Rebuild | 10590.28 | 
     
      10657.00
     
   | 
  ms | 
     
       
      0.99
     
   | 
| Render Style/Material | 628.78 | 
     
      673.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      109.19
     
   | 
  sec | 
     
       
      2.58
     
   | 
| BMW27 | 43.82 | 
     
      50.19
     
   | 
  sec | 
     
       
      0.87
     
   | 
| BMW1M | 17.74 | 
     
      19.00
     
   | 
  sec | 
     
       
      0.93
     
   | 
| Island | 29.68 | 
     
      36.00
     
   | 
  sec | 
     
       
      0.82
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.08
     
   | 
  iterations/sec | 
     
       
      0.85
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      126.57
     
   | 
  sec | 
     
       
      1.04
     
   | 
| Scikit-learn | 449.17 | 
     
      501.60
     
   | 
  sec | 
     
       
      0.90
     
   | 
| XGBoost | 91.50 | 
     
      65.32
     
   | 
  sec | 
     
       
      1.40
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      242.55
     
   | 
  sec | 
     
       
      0.81
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      50.20
     
   | 
  sec | 
     
       
      0.76
     
   | 
| x265 4K to 4K | 107.73 | 
     
      174.91
     
   | 
  sec | 
     
       
      0.62
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      21.75
     
   | 
  sec | 
     
       
      2.30
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      22.36
     
   | 
  fps | 
     
       
      0.92
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      782.36
     
   | 
  tau/day | 
     
       
      1.11
     
   | 
| CHAIN | 1190.35 | 
     
      1342.27
     
   | 
  tau/day | 
     
       
      1.13
     
   | 
| EAM | 0.63 | 
     
      0.66
     
   | 
  ns/day | 
     
       
      1.04
     
   | 
| CHUTE | 38.25 | 
     
      36.19
     
   | 
  tau/day | 
     
       
      0.95
     
   | 
| RHODO | 0.26 | 
     
      0.24
     
   | 
  ns/day | 
     
       
      0.92
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      714.83
     
   | 
  sec | 
     
       
      0.79
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      2.36
     
   | 
  Msamples/sec | 
     
       
      0.96
     
   | 
| Food | 1.84 | 
     
      1.76
     
   | 
  Msamples/sec | 
     
       
      0.96
     
   | 
| Danish Mood | 2.29 | 
     
      1.88
     
   | 
  Msamples/sec | 
     
       
      0.82
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.04
     
   | 
  Msamples/sec | 
     
       
      0.94
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      259.18
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      54.65
     
   | 
  ms/step | 
     
       
      0.83
     
   | 
| f1atpase | 130.50 | 
     
      164.51
     
   | 
  ms/step | 
     
       
      0.79
     
   | 
| stmv | 448.57 | 
     
      532.74
     
   | 
  ms/step | 
     
       
      0.84
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.01
     
   | 
  sec/operation | 
     
       
      1.19
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.13
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      69.50
     
   | 
  ms | 
     
       
      0.92
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      14.24
     
   | 
  inferences/sec | 
     
       
      0.78
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      22.04
     
   | 
  ms | 
     
       
      1.01
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      47.84
     
   | 
  inferences/sec | 
     
       
      1.03
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      59.81
     
   | 
  ms | 
     
       
      0.98
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      18.75
     
   | 
  inferences/sec | 
     
       
      0.90
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      23.34
     
   | 
  ms | 
     
       
      0.91
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      51.67
     
   | 
  inferences/sec | 
     
       
      0.92
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      183.78
     
   | 
  sec | 
     
       
      4.37
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      36451.07
     
   | 
  options/sec | 
     
       
      1.04
     
   | 
| Black-Scholes | 3389.63 | 
     
      3316.23
     
   | 
  Moptions/sec | 
     
       
      0.98
     
   | 
| Binomial | 79377.62 | 
     
      61793.50
     
   | 
  options/sec | 
     
       
      0.78
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      18.11
     
   | 
  iterations/sec | 
     
       
      1.13
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      7.08
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.33
     
   | 
  sec | 
     
       
      1.09
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.77
     
   | 
  sec | 
     
       
      0.93
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      10.47
     
   | 
  sec | 
     
       
      0.77
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      20.22
     
   | 
  sec | 
     
       
      0.77
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.80
     
   | 
  sec | 
     
       
      0.95
     
   | 
| Multi-Matrix | 65.50 | 
     
      76.14
     
   | 
  sec | 
     
       
      0.86
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      143.10
     
   | 
  iterations/sec | 
     
       
      1.04
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.67
     
   | 
  fps | 
     
       
      0.96
     
   | 
| HotSpot | 8.55 | 
     
      16.45
     
   | 
  sec | 
     
       
      0.52
     
   | 
| LavaMD | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      1.00
     
   | 
| SRAD | 47.04 | 
     
      46.92
     
   | 
  iterations/sec | 
     
       
      1.00
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      25.14
     
   | 
  sec | 
     
       
      0.77
     
   | 
            4.71
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      76.64
     
   | 
  fps | 
     
       
      4.80
     
   | 
| catia | 17.57 | 
     
      62.09
     
   | 
  fps | 
     
       
      3.53
     
   | 
| creo | 48.42 | 
     
      134.54
     
   | 
  fps | 
     
       
      2.78
     
   | 
| energy | 11.48 | 
     
      73.91
     
   | 
  fps | 
     
       
      6.44
     
   | 
| maya | 62.09 | 
     
      249.49
     
   | 
  fps | 
     
       
      4.02
     
   | 
| medical | 9.63 | 
     
      84.68
     
   | 
  fps | 
     
       
      8.79
     
   | 
| solidworks | 42.90 | 
     
      206.70
     
   | 
  fps | 
     
       
      4.82
     
   | 
            0.91
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3496.77
     
   | 
  points | 
     
       
      1.06
     
   | 
| 7zip | 431.06 | 
     
      498.45
     
   | 
  points | 
     
       
      1.16
     
   | 
| ccx | 1398.45 | 
     
      1654.05
     
   | 
  points | 
     
       
      1.18
     
   | 
| cfd | 1921.51 | 
     
      1375.70
     
   | 
  points | 
     
       
      0.72
     
   | 
| energy | 1547.93 | 
     
      1119.54
     
   | 
  points | 
     
       
      0.72
     
   | 
| handbrake | 1897.99 | 
     
      2018.47
     
   | 
  points | 
     
       
      1.06
     
   | 
| icePack | 1543.34 | 
     
      1295.89
     
   | 
  points | 
     
       
      0.84
     
   | 
| maya | 2037.06 | 
     
      1753.70
     
   | 
  points | 
     
       
      0.86
     
   | 
| MayaVenice | 472.63 | 
     
      385.81
     
   | 
  points | 
     
       
      0.82
     
   | 
| MandE | 1625.72 | 
     
      1388.44
     
   | 
  points | 
     
       
      0.85
     
   | 
| mcad | 2612.50 | 
     
      3250.83
     
   | 
  points | 
     
       
      1.24
     
   | 
| mozillaVS | 7708.43 | 
     
      6412.59
     
   | 
  points | 
     
       
      0.83
     
   | 
| namd | 1250.61 | 
     
      1182.26
     
   | 
  points | 
     
       
      0.94
     
   | 
| proddev | 659.82 | 
     
      452.78
     
   | 
  points | 
     
       
      0.69
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 21, 2024, 10:51:42 AM PST | 
                         
                             2.35
                         
                     | 
                ||||
| Decompression | 17.48 sec | 16.04 | 
     
      17.48
     
   | 
  sec | 
     
       
      0.92
     
   | 
|
| Compression | 72.31 sec | 254.57 | 
     
      72.31
     
   | 
  sec | 
     
       
      3.52
     
   | 
|
| Autodesk Inventor | Nov 21, 2024, 10:53:17 AM PST | 
                         
                             0.94
                         
                     | 
                ||||
| Open Document | 4.88 sec | 4253.73 | 
     
      4646.00
     
   | 
  ms | 
     
       
      0.92
     
   | 
|
| Create/Update Files | 7.16 sec | 4973.68 | 
     
      5313.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
|
| Rebuild | 10.90 sec | 10590.28 | 
     
      10657.00
     
   | 
  ms | 
     
       
      0.99
     
   | 
|
| Render Style/Material | 0.92 sec | 628.78 | 
     
      673.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
|
| Blender | Nov 21, 2024, 10:54:25 AM PST | 
                         
                             1.15
                         
                     | 
                ||||
| Classroom | 109.19 sec | 281.72 | 
     
      109.19
     
   | 
  sec | 
     
       
      2.58
     
   | 
|
| BMW27 | 50.19 sec | 43.82 | 
     
      50.19
     
   | 
  sec | 
     
       
      0.87
     
   | 
|
| BMW1M | 19.00 sec | 17.74 | 
     
      19.00
     
   | 
  sec | 
     
       
      0.93
     
   | 
|
| Island | 36.00 sec | 29.68 | 
     
      36.00
     
   | 
  sec | 
     
       
      0.82
     
   | 
|
| Convolution | Nov 21, 2024, 10:58:03 AM PST | 
                         
                             0.85
                         
                     | 
                ||||
| 20K/100 | 41.43 sec | 0.09 | 
     
      0.08
     
   | 
  iterations/sec | 
     
       
      0.85
     
   | 
|
| Data Science | Nov 21, 2024, 10:58:45 AM PST | 
                         
                             1.09
                         
                     | 
                ||||
| Pandas | 232.94 sec | 131.99 | 
     
      126.57
     
   | 
  sec | 
     
       
      1.04
     
   | 
|
| Scikit-learn | 506.48 sec | 449.17 | 
     
      501.60
     
   | 
  sec | 
     
       
      0.90
     
   | 
|
| XGBoost | 87.99 sec | 91.50 | 
     
      65.32
     
   | 
  sec | 
     
       
      1.40
     
   | 
|
| HandBrake | Nov 21, 2024, 11:12:49 AM PST | 
                         
                             1.05
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 242.55 sec | 195.16 | 
     
      242.55
     
   | 
  sec | 
     
       
      0.81
     
   | 
|
| x265 4K to 1080p | 52.98 sec | 38.36 | 
     
      50.20
     
   | 
  sec | 
     
       
      0.76
     
   | 
|
| x265 4K to 4K | 177.16 sec | 107.73 | 
     
      174.91
     
   | 
  sec | 
     
       
      0.62
     
   | 
|
| x264 1080p to 1080p | 21.75 sec | 49.98 | 
     
      21.75
     
   | 
  sec | 
     
       
      2.30
     
   | 
|
| GPU H.265 4K to 4K | 75.23 sec | 169.65 | 
     
      111.42
     
   | 
  fps | 
     
       
      0.66
     
   | 
|
| GPU H.265 4K to 4K | 65.68 sec | 169.65 | 
     
      155.24
     
   | 
  fps | 
     
       
      0.92
     
   | 
|
| GPU H.265 4K to 1080p | 237.37 sec | 128.84 | 
     
      200.35
     
   | 
  fps | 
     
       
      1.55
     
   | 
|
| GPU H.265 4K to 1080p | 236.45 sec | 128.84 | 
     
      216.95
     
   | 
  fps | 
     
       
      1.68
     
   | 
|
| Hidden Line Removal | Nov 21, 2024, 11:31:26 AM PST | 
                         
                             0.92
                         
                     | 
                ||||
| Palatov | 17.92 sec | 24.29 | 
     
      22.36
     
   | 
  fps | 
     
       
      0.92
     
   | 
|
| Palatov | 18.28 sec | 24.29 | 
     
      18.45
     
   | 
  fps | 
     
       
      0.76
     
   | 
|
| LAMMPS | Nov 21, 2024, 11:32:04 AM PST | 
                         
                             1.02
                         
                     | 
                ||||
| LJ | 19.36 sec | 705.82 | 
     
      782.36
     
   | 
  tau/day | 
     
       
      1.11
     
   | 
|
| CHAIN | 17.58 sec | 1190.35 | 
     
      1342.27
     
   | 
  tau/day | 
     
       
      1.13
     
   | 
|
| EAM | 21.10 sec | 0.63 | 
     
      0.66
     
   | 
  ns/day | 
     
       
      1.04
     
   | 
|
| CHUTE | 11.15 sec | 38.25 | 
     
      36.19
     
   | 
  tau/day | 
     
       
      0.95
     
   | 
|
| RHODO | 10.69 sec | 0.26 | 
     
      0.24
     
   | 
  ns/day | 
     
       
      0.92
     
   | 
|
| LLVM Clang | Nov 21, 2024, 11:33:25 AM PST | 
                         
                             0.79
                         
                     | 
                ||||
| PyTorch | 737.87 sec | 562.76 | 
     
      714.83
     
   | 
  sec | 
     
       
      0.79
     
   | 
|
| LuxCoreRender | Nov 21, 2024, 11:46:50 AM PST | 
                         
                             0.92
                         
                     | 
                ||||
| DLSC | 20.87 sec | 2.46 | 
     
      2.36
     
   | 
  Msamples/sec | 
     
       
      0.96
     
   | 
|
| Food | 30.50 sec | 1.84 | 
     
      1.76
     
   | 
  Msamples/sec | 
     
       
      0.96
     
   | 
|
| Danish Mood | 79.41 sec | 2.29 | 
     
      1.88
     
   | 
  Msamples/sec | 
     
       
      0.82
     
   | 
|
| Procedural Leaves | 52.02 sec | 1.10 | 
     
      1.04
     
   | 
  Msamples/sec | 
     
       
      0.94
     
   | 
|
| MFEM | Nov 21, 2024, 11:49:53 AM PST | 
                         
                             0.88
                         
                     | 
                ||||
| Dynamic AMR | 259.18 sec | 227.39 | 
     
      259.18
     
   | 
  sec | 
     
       
      0.88
     
   | 
|
| NAMD | Nov 21, 2024, 11:54:13 AM PST | 
                         
                             0.82
                         
                     | 
                ||||
| apoa1 | 13.43 sec | 45.38 | 
     
      54.65
     
   | 
  ms/step | 
     
       
      0.83
     
   | 
|
| f1atpase | 20.74 sec | 130.50 | 
     
      164.51
     
   | 
  ms/step | 
     
       
      0.79
     
   | 
|
| stmv | 43.63 sec | 448.57 | 
     
      532.74
     
   | 
  ms/step | 
     
       
      0.84
     
   | 
|
| Octave | Nov 21, 2024, 11:55:32 AM PST | 
                         
                             1.16
                         
                     | 
                ||||
| obench | 37.36 sec | 1.20 | 
     
      1.01
     
   | 
  sec/operation | 
     
       
      1.19
     
   | 
|
| benchmark2 | 11.41 sec | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.13
     
   | 
|
| ONNX Inference | Nov 21, 2024, 11:56:32 AM PST | 
                         
                             1.95
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.34 sec | 63.72 | 
     
      69.50
     
   | 
  ms | 
     
       
      0.92
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.20 sec | 18.33 | 
     
      14.24
     
   | 
  inferences/sec | 
     
       
      0.78
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.73 sec | 18.33 | 
     
      13.03
     
   | 
  inferences/sec | 
     
       
      0.71
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 | 
     
      22.04
     
   | 
  ms | 
     
       
      1.01
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.44 sec | 46.62 | 
     
      47.84
     
   | 
  inferences/sec | 
     
       
      1.03
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.54 sec | 46.62 | 
     
      44.87
     
   | 
  inferences/sec | 
     
       
      0.96
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.19 sec | 58.42 | 
     
      59.81
     
   | 
  ms | 
     
       
      0.98
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.81 sec | 20.87 | 
     
      18.75
     
   | 
  inferences/sec | 
     
       
      0.90
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.24 sec | 20.87 | 
     
      17.66
     
   | 
  inferences/sec | 
     
       
      0.85
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.12 sec | 21.34 | 
     
      23.34
     
   | 
  ms | 
     
       
      0.91
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.36 sec | 55.92 | 
     
      51.67
     
   | 
  inferences/sec | 
     
       
      0.92
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.45 sec | 55.92 | 
     
      43.73
     
   | 
  inferences/sec | 
     
       
      0.78
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 22.62 sec | 3.92 | 
     
      18.43
     
   | 
  inferences/sec | 
     
       
      4.70
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 21.35 sec | 3.92 | 
     
      18.52
     
   | 
  inferences/sec | 
     
       
      4.72
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.86 sec | 1.92 | 
     
      40.51
     
   | 
  inferences/sec | 
     
       
      21.10
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.84 sec | 1.92 | 
     
      40.46
     
   | 
  inferences/sec | 
     
       
      21.10
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.08 sec | 6.59 | 
     
      24.82
     
   | 
  inferences/sec | 
     
       
      3.77
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.05 sec | 6.59 | 
     
      24.83
     
   | 
  inferences/sec | 
     
       
      3.77
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.00 sec | 1.92 | 
     
      27.73
     
   | 
  inferences/sec | 
     
       
      14.40
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.07 sec | 1.92 | 
     
      27.79
     
   | 
  inferences/sec | 
     
       
      14.50
     
   | 
|
| OpenFOAM | Nov 21, 2024, 12:03:32 PM PST | 
                         
                             4.37
                         
                     | 
                ||||
| XiFoam Solver | 198.61 sec | 803.27 | 
     
      183.78
     
   | 
  sec | 
     
       
      4.37
     
   | 
|
| XiFoam Solver | 240.26 sec | 803.27 | 
     
      227.41
     
   | 
  sec | 
     
       
      3.53
     
   | 
|
| Options Pricing | Nov 21, 2024, 12:10:55 PM PST | 
                         
                             0.93
                         
                     | 
                ||||
| Monte Carlo | 28.86 sec | 35137.48 | 
     
      36451.07
     
   | 
  options/sec | 
     
       
      1.04
     
   | 
|
| Black-Scholes | 21.32 sec | 3389.63 | 
     
      3316.23
     
   | 
  Moptions/sec | 
     
       
      0.98
     
   | 
|
| Binomial | 17.05 sec | 79377.62 | 
     
      61793.50
     
   | 
  options/sec | 
     
       
      0.78
     
   | 
|
| Poisson | Nov 21, 2024, 12:12:03 PM PST | 
                         
                             1.13
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.06 sec | 16.05 | 
     
      17.65
     
   | 
  iterations/sec | 
     
       
      1.10
     
   | 
|
| Jacobi Rectangular Grid | 10.08 sec | 16.05 | 
     
      18.11
     
   | 
  iterations/sec | 
     
       
      1.13
     
   | 
|
| Jacobi Square Grid | 10.19 sec | 6.19 | 
     
      6.89
     
   | 
  iterations/sec | 
     
       
      1.11
     
   | 
|
| Jacobi Square Grid | 10.21 sec | 6.19 | 
     
      7.08
     
   | 
  iterations/sec | 
     
       
      1.14
     
   | 
|
| Python 3 | Nov 21, 2024, 12:12:44 PM PST | 
                         
                             0.88
                         
                     | 
                ||||
| NumPy Create Matrix | 16.07 sec | 0.36 | 
     
      0.33
     
   | 
  sec | 
     
       
      1.09
     
   | 
|
| NumPy Add Matrix | 5.78 sec | 4.44 | 
     
      4.77
     
   | 
  sec | 
     
       
      0.93
     
   | 
|
| NumPy Multiply Matrix | 11.50 sec | 8.06 | 
     
      10.47
     
   | 
  sec | 
     
       
      0.77
     
   | 
|
| NumPy Invert Matrix | 21.26 sec | 15.53 | 
     
      20.22
     
   | 
  sec | 
     
       
      0.77
     
   | 
|
| NumPy Sin Matrix | 3.83 sec | 2.67 | 
     
      2.80
     
   | 
  sec | 
     
       
      0.95
     
   | 
|
| Multi-Matrix | 77.36 sec | 65.50 | 
     
      76.14
     
   | 
  sec | 
     
       
      0.86
     
   | 
|
| Rodinia CFD | Nov 21, 2024, 12:15:15 PM PST | 
                         
                             1.04
                         
                     | 
                ||||
| Pre-Euler | 33.07 sec | 138.14 | 
     
      143.10
     
   | 
  iterations/sec | 
     
       
      1.04
     
   | 
|
| Rodinia Life Sciences | Nov 21, 2024, 12:15:49 PM PST | 
                         
                             0.84
                         
                     | 
                ||||
| Heart Wall | 10.71 sec | 0.69 | 
     
      0.67
     
   | 
  fps | 
     
       
      0.96
     
   | 
|
| HotSpot | 17.67 sec | 8.55 | 
     
      16.45
     
   | 
  sec | 
     
       
      0.52
     
   | 
|
| LavaMD | 14.76 sec | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      1.00
     
   | 
|
| SRAD | 10.27 sec | 47.04 | 
     
      46.92
     
   | 
  iterations/sec | 
     
       
      1.00
     
   | 
|
| SRMP | Nov 21, 2024, 12:16:43 PM PST | 
                         
                             0.77
                         
                     | 
                ||||
| 2D | 25.48 sec | 19.45 | 
     
      25.14
     
   | 
  sec | 
     
       
      0.77
     
   | 
|
| Viewport Graphics | Nov 21, 2024, 12:17:10 PM PST | 
                         
                             4.71
                         
                     | 
                ||||
| 3dsmax | 166.14 sec | 15.96 | 
     
      76.64
     
   | 
  fps | 
     
       
      4.80
     
   | 
|
| catia | 195.69 sec | 17.57 | 
     
      62.09
     
   | 
  fps | 
     
       
      3.53
     
   | 
|
| creo | 228.51 sec | 48.42 | 
     
      134.54
     
   | 
  fps | 
     
       
      2.78
     
   | 
|
| energy | 87.80 sec | 11.48 | 
     
      73.91
     
   | 
  fps | 
     
       
      6.44
     
   | 
|
| maya | 112.89 sec | 62.09 | 
     
      249.49
     
   | 
  fps | 
     
       
      4.02
     
   | 
|
| medical | 79.15 sec | 9.63 | 
     
      84.68
     
   | 
  fps | 
     
       
      8.79
     
   | 
|
| solidworks | 83.89 sec | 42.90 | 
     
      206.70
     
   | 
  fps | 
     
       
      4.82
     
   | 
|
| WPCstorage | Nov 21, 2024, 12:34:09 PM PST | 
                         
                             0.91
                         
                     | 
                ||||
| 3dsmax | 60.18 sec | 3299.42 | 
     
      3496.77
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| 7zip | 64.88 sec | 431.06 | 
     
      498.45
     
   | 
  points | 
     
       
      1.16
     
   | 
|
| ccx | 13.02 sec | 1398.45 | 
     
      1654.05
     
   | 
  points | 
     
       
      1.18
     
   | 
|
| cfd | 13.96 sec | 1921.51 | 
     
      1375.70
     
   | 
  points | 
     
       
      0.72
     
   | 
|
| energy | 25.93 sec | 1547.93 | 
     
      1119.54
     
   | 
  points | 
     
       
      0.72
     
   | 
|
| handbrake | 18.11 sec | 1897.99 | 
     
      2018.47
     
   | 
  points | 
     
       
      1.06
     
   | 
|
| icePack | 67.02 sec | 1543.34 | 
     
      1295.89
     
   | 
  points | 
     
       
      0.84
     
   | 
|
| maya | 65.03 sec | 2037.06 | 
     
      1753.70
     
   | 
  points | 
     
       
      0.86
     
   | 
|
| MayaVenice | 38.89 sec | 472.63 | 
     
      385.81
     
   | 
  points | 
     
       
      0.82
     
   | 
|
| MandE | 24.43 sec | 1625.72 | 
     
      1388.44
     
   | 
  points | 
     
       
      0.85
     
   | 
|
| mcad | 65.17 sec | 2612.50 | 
     
      3250.83
     
   | 
  points | 
     
       
      1.24
     
   | 
|
| mozillaVS | 33.72 sec | 7708.43 | 
     
      6412.59
     
   | 
  points | 
     
       
      0.83
     
   | 
|
| namd | 19.20 sec | 1250.61 | 
     
      1182.26
     
   | 
  points | 
     
       
      0.94
     
   | 
|
| proddev | 21.36 sec | 659.82 | 
     
      452.78
     
   | 
  points | 
     
       
      0.69
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 8C95Model: HP ZBook Power 16 inch G11 A Mobile Workstation PC
Version: KBC Version 08.4B.00
Manufacturer: HP
Serial Number: PTYDB028JJH00Y
BIOS: HP W85 Ver. 01.04.00
BIOS Version: HPQOEM - 1 (2024-08-20)
      
      PROCESSOR
    
    CPU #1: AMD Ryzen 9 PRO 8945HS w/ Radeon 780M Graphics (4001MHz / 8C / 16T)
      
      MEMORY
    
    ChannelA0 (Bottom-Slot 1(left)): Samsung M425R4GA3PB0-CWMOL             (32.00 GB / 5600 MHz / DDR5)ChannelB0 (Bottom-Slot 2(right)): Samsung M425R4GA3PB0-CWMOL (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
      
      STORAGE
    
    Disk #1: SAMSUNG MZVL22T0HBLB-00BH1 (1907.73 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (1874.58 GB)
Partition 3: GPT: Unknown (0.87 GB)
Partition 4: GPT: Basic Data (1.00 GB)
Partition 5: GPT: Basic Data (31.00 GB)
Available Volumes
C: (Windows): NTFS (1744.08 GB of 1874.58 GB Available)
      
      NETWORK
    
    Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 30:13:8B:89:D1:53 | Speed: 1000.00 Mbit
Adapter #2: MediaTek Wi-Fi 6E MT7922 (RZ616) 160MHz PCIe Adapter
Type: Ethernet 802.3 | MAC: 8C:53:E6:DB:09:BF | Speed: Not Connected
Adapter #3: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 8C:53:E6:DB:09:C0 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 3000 Ada Generation Laptop GPUVideo Memory: 8.00 GB
Current Resolution: Unknown
Driver Version: 32.0.15.5612 (2024-06-24)
Adapter #2: AMD Radeon(TM) Graphics
Video Memory: 32.80 GB
Current Resolution: 1920x1200 @ 60 Hz (32-bit Color)
Driver Version: 31.0.22052.12001 (2024-06-23)
        
        DISPLAY
      
      Display #1: IVO Internal Display 16.3" (1920x1200)Model: 3E94 | S/N: 4 | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1920x1200 @ 32 bpp
                
                BATTERY
              
            Battery #1 : P/N: Primary | Mfg: Unknown | Charge Level: 90%
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-28
Free Memory: 54.44 GB (Physical) | 55.38 GB (Virtual) | 3.88 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: HP Optimized (Modern Standby (fb5220ff-7e1a-47aa-9a42-50ffbf45c673)