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 Mobile Workstation PC | 
| CPU | Intel(R) Core(TM) Ultra 9 185H | 
| Memory | 64.00 GB @ 5600 MHz | 
| GPU | 1x Intel(R) Arc(TM) Graphics 1x NVIDIA RTX 3000 Ada Generation Laptop GPU  | 
          
| Display | Internal Display 15.9" (2560x1600) | 
          
| Storage | SAMSUNG MZVL22T0HBLB-00BH1 1907.73 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (22631) | 
Submission Details
| Result Date | Thu Nov 21 2024 10:49:51 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          1.43 | 
Energy  | 
          1.35 | 
Financial Services  | 
          0.74 | 
Life Sciences  | 
          1.43 | 
Media & Entertainment  | 
          1.41 | 
Product Design  | 
          1.48 | 
Productivity & Development  | 
          0.96 | 
Hardware Subsystem Scores
| CPU | 1.06 | 
| Accelerator | 3.80 | 
| Graphics | 4.53 | 
| Storage | 0.85 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 2.07 | 
| Autodesk Inventor | 0.85 | 
| Blender | 1.06 | 
| Convolution | 0.89 | 
| Data Science | 1.16 | 
| HandBrake | 1.34 | 
| Hidden Line Removal | 1.01 | 
| LAMMPS | 1.11 | 
| LLVM Clang | 0.85 | 
| LuxCoreRender | 0.97 | 
| MFEM | 1.09 | 
| NAMD | 0.75 | 
| Octave | 0.88 | 
| ONNX Inference | 1.77 | 
| OpenFOAM | 5.89 | 
| Options Pricing | 0.74 | 
| Poisson | 1.41 | 
| Python 3 | 0.94 | 
| Rodinia CFD | 1.03 | 
| Rodinia Life Sciences | 0.90 | 
| SRMP | 0.86 | 
| Viewport Graphics | 4.53 | 
| WPCstorage | 0.85 | 
Industry Vertical Scores
| AI & Machine Learning | 1.43 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      132.10
     
   | 
  sec | 
     
       
      1.00
     
   | 
| Scikit-learn | 449.17 | 
     
      363.37
     
   | 
  sec | 
     
       
      1.24
     
   | 
| XGBoost | 91.50 | 
     
      71.85
     
   | 
  sec | 
     
       
      1.27
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      76.68
     
   | 
  ms | 
     
       
      0.83
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      14.43
     
   | 
  inferences/sec | 
     
       
      0.79
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      27.76
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      40.87
     
   | 
  inferences/sec | 
     
       
      0.88
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      79.38
     
   | 
  ms | 
     
       
      0.74
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      17.58
     
   | 
  inferences/sec | 
     
       
      0.84
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      26.29
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      51.49
     
   | 
  inferences/sec | 
     
       
      0.92
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      18.39
     
   | 
  inferences/sec | 
     
       
      4.69
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      40.27
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      22.40
     
   | 
  inferences/sec | 
     
       
      3.40
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      25.10
     
   | 
  inferences/sec | 
     
       
      13.10
     
   | 
Industry Vertical Scores
| Energy | 1.35 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.08
     
   | 
  iterations/sec | 
     
       
      0.89
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      23.36
     
   | 
  iterations/sec | 
     
       
      1.46
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      8.43
     
   | 
  iterations/sec | 
     
       
      1.36
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      22.48
     
   | 
  sec | 
     
       
      0.86
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      74.36
     
   | 
  fps | 
     
       
      6.48
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1006.95
     
   | 
  points | 
     
       
      0.65
     
   | 
Industry Vertical Scores
| Financial Services | 0.74 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      26885.45
     
   | 
  options/sec | 
     
       
      0.77
     
   | 
| Black-Scholes | 3389.63 | 
     
      2770.55
     
   | 
  Moptions/sec | 
     
       
      0.82
     
   | 
| Binomial | 79377.62 | 
     
      50654.89
     
   | 
  options/sec | 
     
       
      0.64
     
   | 
Industry Vertical Scores
| Life Sciences | 1.43 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      875.27
     
   | 
  tau/day | 
     
       
      1.24
     
   | 
| CHAIN | 1190.35 | 
     
      1576.32
     
   | 
  tau/day | 
     
       
      1.32
     
   | 
| EAM | 0.63 | 
     
      0.71
     
   | 
  ns/day | 
     
       
      1.13
     
   | 
| CHUTE | 38.25 | 
     
      46.02
     
   | 
  tau/day | 
     
       
      1.20
     
   | 
| RHODO | 0.26 | 
     
      0.20
     
   | 
  ns/day | 
     
       
      0.77
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      67.54
     
   | 
  ms/step | 
     
       
      0.67
     
   | 
| f1atpase | 130.50 | 
     
      172.41
     
   | 
  ms/step | 
     
       
      0.76
     
   | 
| stmv | 448.57 | 
     
      533.01
     
   | 
  ms/step | 
     
       
      0.84
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.73
     
   | 
  fps | 
     
       
      1.06
     
   | 
| HotSpot | 8.55 | 
     
      10.89
     
   | 
  sec | 
     
       
      0.79
     
   | 
| LavaMD | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      0.93
     
   | 
| SRAD | 47.04 | 
     
      39.80
     
   | 
  iterations/sec | 
     
       
      0.85
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      86.43
     
   | 
  fps | 
     
       
      8.98
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1084.96
     
   | 
  points | 
     
       
      0.87
     
   | 
Industry Vertical Scores
| Media & Entertainment | 1.41 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      115.31
     
   | 
  sec | 
     
       
      2.44
     
   | 
| BMW27 | 43.82 | 
     
      48.73
     
   | 
  sec | 
     
       
      0.90
     
   | 
| BMW1M | 17.74 | 
     
      18.56
     
   | 
  sec | 
     
       
      0.96
     
   | 
| Island | 29.68 | 
     
      48.39
     
   | 
  sec | 
     
       
      0.61
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      209.48
     
   | 
  sec | 
     
       
      0.93
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      45.44
     
   | 
  sec | 
     
       
      0.84
     
   | 
| x265 4K to 4K | 107.73 | 
     
      126.30
     
   | 
  sec | 
     
       
      0.85
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      17.91
     
   | 
  sec | 
     
       
      2.79
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      226.69
     
   | 
  fps | 
     
       
      1.34
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      304.22
     
   | 
  fps | 
     
       
      2.36
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      2.63
     
   | 
  Msamples/sec | 
     
       
      1.07
     
   | 
| Food | 1.84 | 
     
      1.94
     
   | 
  Msamples/sec | 
     
       
      1.05
     
   | 
| Danish Mood | 2.29 | 
     
      1.83
     
   | 
  Msamples/sec | 
     
       
      0.80
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.09
     
   | 
  Msamples/sec | 
     
       
      0.99
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      76.56
     
   | 
  fps | 
     
       
      4.80
     
   | 
| maya | 62.09 | 
     
      252.18
     
   | 
  fps | 
     
       
      4.06
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3338.32
     
   | 
  points | 
     
       
      1.01
     
   | 
| handbrake | 1897.99 | 
     
      1987.51
     
   | 
  points | 
     
       
      1.05
     
   | 
| maya | 2037.06 | 
     
      1704.92
     
   | 
  points | 
     
       
      0.84
     
   | 
| MayaVenice | 472.63 | 
     
      378.59
     
   | 
  points | 
     
       
      0.80
     
   | 
| MandE | 1625.72 | 
     
      1343.16
     
   | 
  points | 
     
       
      0.83
     
   | 
Industry Vertical Scores
| Product Design | 1.48 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5044.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
| Create/Update Files | 4973.68 | 
     
      5940.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
| Rebuild | 10590.28 | 
     
      12175.00
     
   | 
  ms | 
     
       
      0.87
     
   | 
| Render Style/Material | 628.78 | 
     
      744.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      24.45
     
   | 
  fps | 
     
       
      1.01
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      209.46
     
   | 
  sec | 
     
       
      1.09
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      136.34
     
   | 
  sec | 
     
       
      5.89
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      142.53
     
   | 
  iterations/sec | 
     
       
      1.03
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      63.48
     
   | 
  fps | 
     
       
      3.61
     
   | 
| creo | 48.42 | 
     
      97.55
     
   | 
  fps | 
     
       
      2.01
     
   | 
| solidworks | 42.90 | 
     
      204.66
     
   | 
  fps | 
     
       
      4.77
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      1562.91
     
   | 
  points | 
     
       
      1.12
     
   | 
| cfd | 1921.51 | 
     
      1383.83
     
   | 
  points | 
     
       
      0.72
     
   | 
| icePack | 1543.34 | 
     
      1198.88
     
   | 
  points | 
     
       
      0.78
     
   | 
| mcad | 2612.50 | 
     
      2590.02
     
   | 
  points | 
     
       
      0.99
     
   | 
| proddev | 659.82 | 
     
      446.18
     
   | 
  points | 
     
       
      0.68
     
   | 
Industry Vertical Scores
| Productivity & Development | 0.96 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      31.86
     
   | 
  sec | 
     
       
      0.50
     
   | 
| Compression | 254.57 | 
     
      67.37
     
   | 
  sec | 
     
       
      3.78
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      658.44
     
   | 
  sec | 
     
       
      0.85
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.33
     
   | 
  sec/operation | 
     
       
      0.90
     
   | 
| benchmark2 | 0.11 | 
     
      0.13
     
   | 
  sec/operation | 
     
       
      0.85
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.38
     
   | 
  sec | 
     
       
      0.95
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.04
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      9.28
     
   | 
  sec | 
     
       
      0.87
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      16.23
     
   | 
  sec | 
     
       
      0.96
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.13
     
   | 
  sec | 
     
       
      0.85
     
   | 
| Multi-Matrix | 65.50 | 
     
      67.39
     
   | 
  sec | 
     
       
      0.97
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      497.57
     
   | 
  points | 
     
       
      1.15
     
   | 
| mozillaVS | 7708.43 | 
     
      4969.50
     
   | 
  points | 
     
       
      0.65
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            3.80
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      226.69
     
   | 
  fps | 
     
       
      1.34
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      304.22
     
   | 
  fps | 
     
       
      2.36
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      18.39
     
   | 
  inferences/sec | 
     
       
      4.69
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      40.27
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      22.40
     
   | 
  inferences/sec | 
     
       
      3.40
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      25.10
     
   | 
  inferences/sec | 
     
       
      13.10
     
   | 
            1.06
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      31.86
     
   | 
  sec | 
     
       
      0.50
     
   | 
| Compression | 254.57 | 
     
      67.37
     
   | 
  sec | 
     
       
      3.78
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      5044.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
| Create/Update Files | 4973.68 | 
     
      5940.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
| Rebuild | 10590.28 | 
     
      12175.00
     
   | 
  ms | 
     
       
      0.87
     
   | 
| Render Style/Material | 628.78 | 
     
      744.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      115.31
     
   | 
  sec | 
     
       
      2.44
     
   | 
| BMW27 | 43.82 | 
     
      48.73
     
   | 
  sec | 
     
       
      0.90
     
   | 
| BMW1M | 17.74 | 
     
      18.56
     
   | 
  sec | 
     
       
      0.96
     
   | 
| Island | 29.68 | 
     
      48.39
     
   | 
  sec | 
     
       
      0.61
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.08
     
   | 
  iterations/sec | 
     
       
      0.89
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      132.10
     
   | 
  sec | 
     
       
      1.00
     
   | 
| Scikit-learn | 449.17 | 
     
      363.37
     
   | 
  sec | 
     
       
      1.24
     
   | 
| XGBoost | 91.50 | 
     
      71.85
     
   | 
  sec | 
     
       
      1.27
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      209.48
     
   | 
  sec | 
     
       
      0.93
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      45.44
     
   | 
  sec | 
     
       
      0.84
     
   | 
| x265 4K to 4K | 107.73 | 
     
      126.30
     
   | 
  sec | 
     
       
      0.85
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      17.91
     
   | 
  sec | 
     
       
      2.79
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      24.45
     
   | 
  fps | 
     
       
      1.01
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      875.27
     
   | 
  tau/day | 
     
       
      1.24
     
   | 
| CHAIN | 1190.35 | 
     
      1576.32
     
   | 
  tau/day | 
     
       
      1.32
     
   | 
| EAM | 0.63 | 
     
      0.71
     
   | 
  ns/day | 
     
       
      1.13
     
   | 
| CHUTE | 38.25 | 
     
      46.02
     
   | 
  tau/day | 
     
       
      1.20
     
   | 
| RHODO | 0.26 | 
     
      0.20
     
   | 
  ns/day | 
     
       
      0.77
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      658.44
     
   | 
  sec | 
     
       
      0.85
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      2.63
     
   | 
  Msamples/sec | 
     
       
      1.07
     
   | 
| Food | 1.84 | 
     
      1.94
     
   | 
  Msamples/sec | 
     
       
      1.05
     
   | 
| Danish Mood | 2.29 | 
     
      1.83
     
   | 
  Msamples/sec | 
     
       
      0.80
     
   | 
| Procedural Leaves | 1.10 | 
     
      1.09
     
   | 
  Msamples/sec | 
     
       
      0.99
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      209.46
     
   | 
  sec | 
     
       
      1.09
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      67.54
     
   | 
  ms/step | 
     
       
      0.67
     
   | 
| f1atpase | 130.50 | 
     
      172.41
     
   | 
  ms/step | 
     
       
      0.76
     
   | 
| stmv | 448.57 | 
     
      533.01
     
   | 
  ms/step | 
     
       
      0.84
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.33
     
   | 
  sec/operation | 
     
       
      0.90
     
   | 
| benchmark2 | 0.11 | 
     
      0.13
     
   | 
  sec/operation | 
     
       
      0.85
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      76.68
     
   | 
  ms | 
     
       
      0.83
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      14.43
     
   | 
  inferences/sec | 
     
       
      0.79
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      27.76
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      40.87
     
   | 
  inferences/sec | 
     
       
      0.88
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      79.38
     
   | 
  ms | 
     
       
      0.74
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      17.58
     
   | 
  inferences/sec | 
     
       
      0.84
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      26.29
     
   | 
  ms | 
     
       
      0.81
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      51.49
     
   | 
  inferences/sec | 
     
       
      0.92
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      136.34
     
   | 
  sec | 
     
       
      5.89
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      26885.45
     
   | 
  options/sec | 
     
       
      0.77
     
   | 
| Black-Scholes | 3389.63 | 
     
      2770.55
     
   | 
  Moptions/sec | 
     
       
      0.82
     
   | 
| Binomial | 79377.62 | 
     
      50654.89
     
   | 
  options/sec | 
     
       
      0.64
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      23.36
     
   | 
  iterations/sec | 
     
       
      1.46
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      8.43
     
   | 
  iterations/sec | 
     
       
      1.36
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.38
     
   | 
  sec | 
     
       
      0.95
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      5.04
     
   | 
  sec | 
     
       
      0.88
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      9.28
     
   | 
  sec | 
     
       
      0.87
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      16.23
     
   | 
  sec | 
     
       
      0.96
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      3.13
     
   | 
  sec | 
     
       
      0.85
     
   | 
| Multi-Matrix | 65.50 | 
     
      67.39
     
   | 
  sec | 
     
       
      0.97
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      142.53
     
   | 
  iterations/sec | 
     
       
      1.03
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      0.73
     
   | 
  fps | 
     
       
      1.06
     
   | 
| HotSpot | 8.55 | 
     
      10.89
     
   | 
  sec | 
     
       
      0.79
     
   | 
| LavaMD | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      0.93
     
   | 
| SRAD | 47.04 | 
     
      39.80
     
   | 
  iterations/sec | 
     
       
      0.85
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      22.48
     
   | 
  sec | 
     
       
      0.86
     
   | 
            4.53
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      76.56
     
   | 
  fps | 
     
       
      4.80
     
   | 
| catia | 17.57 | 
     
      63.48
     
   | 
  fps | 
     
       
      3.61
     
   | 
| creo | 48.42 | 
     
      97.55
     
   | 
  fps | 
     
       
      2.01
     
   | 
| energy | 11.48 | 
     
      74.36
     
   | 
  fps | 
     
       
      6.48
     
   | 
| maya | 62.09 | 
     
      252.18
     
   | 
  fps | 
     
       
      4.06
     
   | 
| medical | 9.63 | 
     
      86.43
     
   | 
  fps | 
     
       
      8.98
     
   | 
| solidworks | 42.90 | 
     
      204.66
     
   | 
  fps | 
     
       
      4.77
     
   | 
            0.85
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      3338.32
     
   | 
  points | 
     
       
      1.01
     
   | 
| 7zip | 431.06 | 
     
      497.57
     
   | 
  points | 
     
       
      1.15
     
   | 
| ccx | 1398.45 | 
     
      1562.91
     
   | 
  points | 
     
       
      1.12
     
   | 
| cfd | 1921.51 | 
     
      1383.83
     
   | 
  points | 
     
       
      0.72
     
   | 
| energy | 1547.93 | 
     
      1006.95
     
   | 
  points | 
     
       
      0.65
     
   | 
| handbrake | 1897.99 | 
     
      1987.51
     
   | 
  points | 
     
       
      1.05
     
   | 
| icePack | 1543.34 | 
     
      1198.88
     
   | 
  points | 
     
       
      0.78
     
   | 
| maya | 2037.06 | 
     
      1704.92
     
   | 
  points | 
     
       
      0.84
     
   | 
| MayaVenice | 472.63 | 
     
      378.59
     
   | 
  points | 
     
       
      0.80
     
   | 
| MandE | 1625.72 | 
     
      1343.16
     
   | 
  points | 
     
       
      0.83
     
   | 
| mcad | 2612.50 | 
     
      2590.02
     
   | 
  points | 
     
       
      0.99
     
   | 
| mozillaVS | 7708.43 | 
     
      4969.50
     
   | 
  points | 
     
       
      0.65
     
   | 
| namd | 1250.61 | 
     
      1084.96
     
   | 
  points | 
     
       
      0.87
     
   | 
| proddev | 659.82 | 
     
      446.18
     
   | 
  points | 
     
       
      0.68
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 21, 2024, 10:49:51 AM PST | 
                         
                             2.07
                         
                     | 
                ||||
| Decompression | 31.86 sec | 16.04 | 
     
      31.86
     
   | 
  sec | 
     
       
      0.50
     
   | 
|
| Compression | 67.37 sec | 254.57 | 
     
      67.37
     
   | 
  sec | 
     
       
      3.78
     
   | 
|
| Autodesk Inventor | Nov 21, 2024, 10:51:36 AM PST | 
                         
                             0.85
                         
                     | 
                ||||
| Open Document | 5.27 sec | 4253.73 | 
     
      5044.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
|
| Create/Update Files | 7.76 sec | 4973.68 | 
     
      5940.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
|
| Rebuild | 12.41 sec | 10590.28 | 
     
      12175.00
     
   | 
  ms | 
     
       
      0.87
     
   | 
|
| Render Style/Material | 0.96 sec | 628.78 | 
     
      744.00
     
   | 
  ms | 
     
       
      0.84
     
   | 
|
| Blender | Nov 21, 2024, 10:53:05 AM PST | 
                         
                             1.06
                         
                     | 
                ||||
| Classroom | 115.31 sec | 281.72 | 
     
      115.31
     
   | 
  sec | 
     
       
      2.44
     
   | 
|
| BMW27 | 48.73 sec | 43.82 | 
     
      48.73
     
   | 
  sec | 
     
       
      0.90
     
   | 
|
| BMW1M | 18.56 sec | 17.74 | 
     
      18.56
     
   | 
  sec | 
     
       
      0.96
     
   | 
|
| Island | 48.39 sec | 29.68 | 
     
      48.39
     
   | 
  sec | 
     
       
      0.61
     
   | 
|
| Convolution | Nov 21, 2024, 10:57:01 AM PST | 
                         
                             0.89
                         
                     | 
                ||||
| 20K/100 | 40.28 sec | 0.09 | 
     
      0.08
     
   | 
  iterations/sec | 
     
       
      0.89
     
   | 
|
| Data Science | Nov 21, 2024, 10:57:41 AM PST | 
                         
                             1.16
                         
                     | 
                ||||
| Pandas | 297.48 sec | 131.99 | 
     
      132.10
     
   | 
  sec | 
     
       
      1.00
     
   | 
|
| Scikit-learn | 368.93 sec | 449.17 | 
     
      363.37
     
   | 
  sec | 
     
       
      1.24
     
   | 
|
| XGBoost | 109.71 sec | 91.50 | 
     
      71.85
     
   | 
  sec | 
     
       
      1.27
     
   | 
|
| HandBrake | Nov 21, 2024, 11:11:04 AM PST | 
                         
                             1.34
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 209.48 sec | 195.16 | 
     
      209.48
     
   | 
  sec | 
     
       
      0.93
     
   | 
|
| x265 4K to 1080p | 48.23 sec | 38.36 | 
     
      45.44
     
   | 
  sec | 
     
       
      0.84
     
   | 
|
| x265 4K to 4K | 128.99 sec | 107.73 | 
     
      126.30
     
   | 
  sec | 
     
       
      0.85
     
   | 
|
| x264 1080p to 1080p | 17.91 sec | 49.98 | 
     
      17.91
     
   | 
  sec | 
     
       
      2.79
     
   | 
|
| GPU H.265 4K to 4K | 71.67 sec | 169.65 | 
     
      118.70
     
   | 
  fps | 
     
       
      0.70
     
   | 
|
| GPU H.265 4K to 4K | 58.68 sec | 169.65 | 
     
      226.69
     
   | 
  fps | 
     
       
      1.34
     
   | 
|
| GPU H.265 4K to 1080p | 249.29 sec | 128.84 | 
     
      187.86
     
   | 
  fps | 
     
       
      1.46
     
   | 
|
| GPU H.265 4K to 1080p | 246.24 sec | 128.84 | 
     
      304.22
     
   | 
  fps | 
     
       
      2.36
     
   | 
|
| Hidden Line Removal | Nov 21, 2024, 11:28:25 AM PST | 
                         
                             1.01
                         
                     | 
                ||||
| Palatov | 20.15 sec | 24.29 | 
     
      24.45
     
   | 
  fps | 
     
       
      1.01
     
   | 
|
| Palatov | 20.04 sec | 24.29 | 
     
      22.64
     
   | 
  fps | 
     
       
      0.93
     
   | 
|
| LAMMPS | Nov 21, 2024, 11:29:09 AM PST | 
                         
                             1.11
                         
                     | 
                ||||
| LJ | 18.66 sec | 705.82 | 
     
      875.27
     
   | 
  tau/day | 
     
       
      1.24
     
   | 
|
| CHAIN | 16.27 sec | 1190.35 | 
     
      1576.32
     
   | 
  tau/day | 
     
       
      1.32
     
   | 
|
| EAM | 19.89 sec | 0.63 | 
     
      0.71
     
   | 
  ns/day | 
     
       
      1.13
     
   | 
|
| CHUTE | 9.41 sec | 38.25 | 
     
      46.02
     
   | 
  tau/day | 
     
       
      1.20
     
   | 
|
| RHODO | 15.01 sec | 0.26 | 
     
      0.20
     
   | 
  ns/day | 
     
       
      0.77
     
   | 
|
| LLVM Clang | Nov 21, 2024, 11:30:31 AM PST | 
                         
                             0.85
                         
                     | 
                ||||
| PyTorch | 683.25 sec | 562.76 | 
     
      658.44
     
   | 
  sec | 
     
       
      0.85
     
   | 
|
| LuxCoreRender | Nov 21, 2024, 11:43:29 AM PST | 
                         
                             0.97
                         
                     | 
                ||||
| DLSC | 18.86 sec | 2.46 | 
     
      2.63
     
   | 
  Msamples/sec | 
     
       
      1.07
     
   | 
|
| Food | 26.90 sec | 1.84 | 
     
      1.94
     
   | 
  Msamples/sec | 
     
       
      1.05
     
   | 
|
| Danish Mood | 81.79 sec | 2.29 | 
     
      1.83
     
   | 
  Msamples/sec | 
     
       
      0.80
     
   | 
|
| Procedural Leaves | 50.20 sec | 1.10 | 
     
      1.09
     
   | 
  Msamples/sec | 
     
       
      0.99
     
   | 
|
| MFEM | Nov 21, 2024, 11:46:28 AM PST | 
                         
                             1.09
                         
                     | 
                ||||
| Dynamic AMR | 209.46 sec | 227.39 | 
     
      209.46
     
   | 
  sec | 
     
       
      1.09
     
   | 
|
| NAMD | Nov 21, 2024, 11:50:01 AM PST | 
                         
                             0.75
                         
                     | 
                ||||
| apoa1 | 27.18 sec | 45.38 | 
     
      67.54
     
   | 
  ms/step | 
     
       
      0.67
     
   | 
|
| f1atpase | 39.13 sec | 130.50 | 
     
      172.41
     
   | 
  ms/step | 
     
       
      0.76
     
   | 
|
| stmv | 55.00 sec | 448.57 | 
     
      533.01
     
   | 
  ms/step | 
     
       
      0.84
     
   | 
|
| Octave | Nov 21, 2024, 11:52:05 AM PST | 
                         
                             0.88
                         
                     | 
                ||||
| obench | 53.45 sec | 1.20 | 
     
      1.33
     
   | 
  sec/operation | 
     
       
      0.90
     
   | 
|
| benchmark2 | 11.69 sec | 0.11 | 
     
      0.13
     
   | 
  sec/operation | 
     
       
      0.85
     
   | 
|
| ONNX Inference | Nov 21, 2024, 11:53:21 AM PST | 
                         
                             1.77
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.52 sec | 63.72 | 
     
      76.68
     
   | 
  ms | 
     
       
      0.83
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 21.52 sec | 18.33 | 
     
      14.43
     
   | 
  inferences/sec | 
     
       
      0.79
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.36 sec | 18.33 | 
     
      13.30
     
   | 
  inferences/sec | 
     
       
      0.72
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.21 sec | 22.37 | 
     
      27.76
     
   | 
  ms | 
     
       
      0.81
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.59 sec | 46.62 | 
     
      39.79
     
   | 
  inferences/sec | 
     
       
      0.85
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.76 sec | 46.62 | 
     
      40.87
     
   | 
  inferences/sec | 
     
       
      0.88
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.18 sec | 58.42 | 
     
      79.38
     
   | 
  ms | 
     
       
      0.74
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.15 sec | 20.87 | 
     
      17.58
     
   | 
  inferences/sec | 
     
       
      0.84
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.73 sec | 20.87 | 
     
      16.63
     
   | 
  inferences/sec | 
     
       
      0.80
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 | 
     
      26.29
     
   | 
  ms | 
     
       
      0.81
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.46 sec | 55.92 | 
     
      51.49
     
   | 
  inferences/sec | 
     
       
      0.92
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.69 sec | 55.92 | 
     
      46.59
     
   | 
  inferences/sec | 
     
       
      0.83
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 22.79 sec | 3.92 | 
     
      18.35
     
   | 
  inferences/sec | 
     
       
      4.68
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.67 sec | 3.92 | 
     
      18.39
     
   | 
  inferences/sec | 
     
       
      4.69
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.71 sec | 1.92 | 
     
      40.27
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.67 sec | 1.92 | 
     
      40.33
     
   | 
  inferences/sec | 
     
       
      21.00
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.25 sec | 6.59 | 
     
      22.40
     
   | 
  inferences/sec | 
     
       
      3.40
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.23 sec | 6.59 | 
     
      22.27
     
   | 
  inferences/sec | 
     
       
      3.38
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.16 sec | 1.92 | 
     
      25.01
     
   | 
  inferences/sec | 
     
       
      13.00
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.17 sec | 1.92 | 
     
      25.10
     
   | 
  inferences/sec | 
     
       
      13.10
     
   | 
|
| OpenFOAM | Nov 21, 2024, 12:00:26 PM PST | 
                         
                             5.89
                         
                     | 
                ||||
| XiFoam Solver | 242.91 sec | 803.27 | 
     
      225.30
     
   | 
  sec | 
     
       
      3.57
     
   | 
|
| XiFoam Solver | 148.80 sec | 803.27 | 
     
      136.34
     
   | 
  sec | 
     
       
      5.89
     
   | 
|
| Options Pricing | Nov 21, 2024, 12:07:05 PM PST | 
                         
                             0.74
                         
                     | 
                ||||
| Monte Carlo | 39.18 sec | 35137.48 | 
     
      26885.45
     
   | 
  options/sec | 
     
       
      0.77
     
   | 
|
| Black-Scholes | 25.55 sec | 3389.63 | 
     
      2770.55
     
   | 
  Moptions/sec | 
     
       
      0.82
     
   | 
|
| Binomial | 20.79 sec | 79377.62 | 
     
      50654.89
     
   | 
  options/sec | 
     
       
      0.64
     
   | 
|
| Poisson | Nov 21, 2024, 12:08:30 PM PST | 
                         
                             1.41
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.30 sec | 16.05 | 
     
      7.67
     
   | 
  iterations/sec | 
     
       
      0.48
     
   | 
|
| Jacobi Rectangular Grid | 10.09 sec | 16.05 | 
     
      23.36
     
   | 
  iterations/sec | 
     
       
      1.46
     
   | 
|
| Jacobi Square Grid | 10.16 sec | 6.19 | 
     
      4.74
     
   | 
  iterations/sec | 
     
       
      0.77
     
   | 
|
| Jacobi Square Grid | 10.11 sec | 6.19 | 
     
      8.43
     
   | 
  iterations/sec | 
     
       
      1.36
     
   | 
|
| Python 3 | Nov 21, 2024, 12:09:14 PM PST | 
                         
                             0.94
                         
                     | 
                ||||
| NumPy Create Matrix | 31.53 sec | 0.36 | 
     
      0.38
     
   | 
  sec | 
     
       
      0.95
     
   | 
|
| NumPy Add Matrix | 6.07 sec | 4.44 | 
     
      5.04
     
   | 
  sec | 
     
       
      0.88
     
   | 
|
| NumPy Multiply Matrix | 10.31 sec | 8.06 | 
     
      9.28
     
   | 
  sec | 
     
       
      0.87
     
   | 
|
| NumPy Invert Matrix | 17.27 sec | 15.53 | 
     
      16.23
     
   | 
  sec | 
     
       
      0.96
     
   | 
|
| NumPy Sin Matrix | 4.16 sec | 2.67 | 
     
      3.13
     
   | 
  sec | 
     
       
      0.85
     
   | 
|
| Multi-Matrix | 68.61 sec | 65.50 | 
     
      67.39
     
   | 
  sec | 
     
       
      0.97
     
   | 
|
| Rodinia CFD | Nov 21, 2024, 12:11:50 PM PST | 
                         
                             1.03
                         
                     | 
                ||||
| Pre-Euler | 33.73 sec | 138.14 | 
     
      142.53
     
   | 
  iterations/sec | 
     
       
      1.03
     
   | 
|
| Rodinia Life Sciences | Nov 21, 2024, 12:12:27 PM PST | 
                         
                             0.90
                         
                     | 
                ||||
| Heart Wall | 11.20 sec | 0.69 | 
     
      0.73
     
   | 
  fps | 
     
       
      1.06
     
   | 
|
| HotSpot | 12.30 sec | 8.55 | 
     
      10.89
     
   | 
  sec | 
     
       
      0.79
     
   | 
|
| LavaMD | 16.02 sec | 0.07 | 
     
      0.07
     
   | 
  iterations/sec | 
     
       
      0.93
     
   | 
|
| SRAD | 10.38 sec | 47.04 | 
     
      39.80
     
   | 
  iterations/sec | 
     
       
      0.85
     
   | 
|
| SRMP | Nov 21, 2024, 12:13:20 PM PST | 
                         
                             0.86
                         
                     | 
                ||||
| 2D | 23.03 sec | 19.45 | 
     
      22.48
     
   | 
  sec | 
     
       
      0.86
     
   | 
|
| Viewport Graphics | Nov 21, 2024, 12:13:46 PM PST | 
                         
                             4.53
                         
                     | 
                ||||
| 3dsmax | 187.13 sec | 15.96 | 
     
      76.56
     
   | 
  fps | 
     
       
      4.80
     
   | 
|
| catia | 247.34 sec | 17.57 | 
     
      63.48
     
   | 
  fps | 
     
       
      3.61
     
   | 
|
| creo | 295.35 sec | 48.42 | 
     
      97.55
     
   | 
  fps | 
     
       
      2.01
     
   | 
|
| energy | 90.72 sec | 11.48 | 
     
      74.36
     
   | 
  fps | 
     
       
      6.48
     
   | 
|
| maya | 124.09 sec | 62.09 | 
     
      252.18
     
   | 
  fps | 
     
       
      4.06
     
   | 
|
| medical | 80.17 sec | 9.63 | 
     
      86.43
     
   | 
  fps | 
     
       
      8.98
     
   | 
|
| solidworks | 98.28 sec | 42.90 | 
     
      204.66
     
   | 
  fps | 
     
       
      4.77
     
   | 
|
| WPCstorage | Nov 21, 2024, 12:34:33 PM PST | 
                         
                             0.85
                         
                     | 
                ||||
| 3dsmax | 62.98 sec | 3299.42 | 
     
      3338.32
     
   | 
  points | 
     
       
      1.01
     
   | 
|
| 7zip | 68.61 sec | 431.06 | 
     
      497.57
     
   | 
  points | 
     
       
      1.15
     
   | 
|
| ccx | 12.83 sec | 1398.45 | 
     
      1562.91
     
   | 
  points | 
     
       
      1.12
     
   | 
|
| cfd | 13.71 sec | 1921.51 | 
     
      1383.83
     
   | 
  points | 
     
       
      0.72
     
   | 
|
| energy | 26.46 sec | 1547.93 | 
     
      1006.95
     
   | 
  points | 
     
       
      0.65
     
   | 
|
| handbrake | 18.12 sec | 1897.99 | 
     
      1987.51
     
   | 
  points | 
     
       
      1.05
     
   | 
|
| icePack | 70.45 sec | 1543.34 | 
     
      1198.88
     
   | 
  points | 
     
       
      0.78
     
   | 
|
| maya | 66.82 sec | 2037.06 | 
     
      1704.92
     
   | 
  points | 
     
       
      0.84
     
   | 
|
| MayaVenice | 39.32 sec | 472.63 | 
     
      378.59
     
   | 
  points | 
     
       
      0.80
     
   | 
|
| MandE | 24.70 sec | 1625.72 | 
     
      1343.16
     
   | 
  points | 
     
       
      0.83
     
   | 
|
| mcad | 74.16 sec | 2612.50 | 
     
      2590.02
     
   | 
  points | 
     
       
      0.99
     
   | 
|
| mozillaVS | 35.98 sec | 7708.43 | 
     
      4969.50
     
   | 
  points | 
     
       
      0.65
     
   | 
|
| namd | 19.25 sec | 1250.61 | 
     
      1084.96
     
   | 
  points | 
     
       
      0.87
     
   | 
|
| proddev | 22.39 sec | 659.82 | 
     
      446.18
     
   | 
  points | 
     
       
      0.68
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 8CA0Model: HP ZBook Power 16 inch G11 Mobile Workstation PC
Version: KBC Version 07.48.00
Manufacturer: HP
Serial Number: PTYBC028JJH011
BIOS: HP W97 Ver. 01.03.04
BIOS Version: HPQOEM - 0 (2024-09-05)
      
      PROCESSOR
    
    CPU #1: Intel(R) Core(TM) Ultra 9 185H (2300MHz / 16C / 22T)
      
      MEMORY
    
    Controller0ChannelADimm0 (Bottom-Slot 1(left)): Hynix/Hyundai HMCG88AGBSA095N      (32.00 GB / 5600 MHz / DDR5)Controller1ChannelADimm0 (Bottom-Slot 2(right)): Hynix/Hyundai HMCG88AGBSA095N (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 (1874.40 GB)
Partition 3: GPT: Unknown (1.05 GB)
Partition 4: GPT: Basic Data (1.00 GB)
Partition 5: GPT: Basic Data (31.00 GB)
Available Volumes
C: (Windows): NTFS (1724.78 GB of 1874.40 GB Available)
      
      NETWORK
    
    Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: DC:97:BA:AE:F2:4A | Speed: Not Connected
Adapter #2: HP 4G LTE-A Pro Cat16 WWAN eSIM
Type: Wireless | MAC: 9C:93:88:55:5C:5A | Speed: Not Connected
Adapter #3: Intel(R) Ethernet Connection (18) I219-LM
Type: Ethernet 802.3 | MAC: 30:13:8B:89:41:FA | Speed: 1000.00 Mbit
Adapter #4: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: DC:97:BA:AE:F2:4E | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: Intel(R) Arc(TM) GraphicsVideo Memory: 31.84 GB
Current Resolution: 2560x1600 @ 120 Hz (32-bit Color)
Driver Version: 32.0.101.5763 (2024-07-07)
Adapter #2: NVIDIA RTX 3000 Ada Generation Laptop GPU
Video Memory: 8.00 GB
Current Resolution: Unknown
Driver Version: 32.0.15.5612 (2024-06-24)
        
        DISPLAY
      
      Display #1: BOE Internal Display 15.9" (2560x1600)Model: 0BBC | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 2560x1600 @ 32 bpp
                
                BATTERY
              
            Battery #1 : P/N: Primary | Mfg: Unknown | Charge Level: 91%
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-28
Free Memory: 55.38 GB (Physical) | 54.84 GB (Virtual) | 0.59 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)