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 | Dell Inc. | 
| Model | Precision 7875 Tower | 
| CPU | AMD Ryzen Threadripper PRO 7995WX 96-Cores | 
| Memory | 128.00 GB @ 5200 MHz | 
| GPU | AMD Radeon PRO W7900 | 
| Display | DELL P2719HC 27.2" (1920x1080) | 
          
| Storage | Drive 1: Micron 2450 NVMe 256GB 238.47 GB - SCSI Drive 2: WDC WD10EZEX-75WN4A1 931.51 GB - IDE  | 
          
| OS | Microsoft Windows 11 Pro (22616) | 
Submission Details
| Result Date | Tue Nov 19 2024 13:24:42 GMT-0800 (Pacific Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          3.21 | 
Energy  | 
          5.37 | 
Financial Services  | 
          7.19 | 
Life Sciences  | 
          4.64 | 
Media & Entertainment  | 
          3.73 | 
Product Design  | 
          3.04 | 
Productivity & Development  | 
          1.45 | 
Hardware Subsystem Scores
| CPU | 4.07 | 
| Accelerator | 6.18 | 
| Graphics | 11.78 | 
| Storage | 0.41 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.93 | 
| Autodesk Inventor | 0.97 | 
| Blender | 5.69 | 
| Convolution | 6.85 | 
| Data Science | 2.10 | 
| HandBrake | 2.65 | 
| Hidden Line Removal | 2.13 | 
| LAMMPS | 4.74 | 
| LLVM Clang | 5.24 | 
| LuxCoreRender | 6.32 | 
| MFEM | 4.54 | 
| NAMD | 5.37 | 
| Octave | 1.13 | 
| ONNX Inference | 4.92 | 
| OpenFOAM | 34.80 | 
| Options Pricing | 7.19 | 
| Poisson | 13.90 | 
| Python 3 | 1.53 | 
| Rodinia CFD | 3.43 | 
| Rodinia Life Sciences | 7.53 | 
| SRMP | 4.05 | 
| Viewport Graphics | 11.80 | 
| WPCstorage | 0.41 | 
Industry Vertical Scores
| AI & Machine Learning | 3.21 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      123.27
     
   | 
  sec | 
     
       
      1.07
     
   | 
| Scikit-learn | 449.17 | 
     
      79.93
     
   | 
  sec | 
     
       
      5.62
     
   | 
| XGBoost | 91.50 | 
     
      59.38
     
   | 
  sec | 
     
       
      1.54
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      24.76
     
   | 
  ms | 
     
       
      2.57
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      85.51
     
   | 
  inferences/sec | 
     
       
      4.67
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      14.17
     
   | 
  ms | 
     
       
      1.58
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      241.61
     
   | 
  inferences/sec | 
     
       
      5.18
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      38.26
     
   | 
  ms | 
     
       
      1.53
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      123.23
     
   | 
  inferences/sec | 
     
       
      5.90
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      25.84
     
   | 
  ms | 
     
       
      0.83
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      136.13
     
   | 
  inferences/sec | 
     
       
      2.43
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      61.65
     
   | 
  inferences/sec | 
     
       
      15.70
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      84.15
     
   | 
  inferences/sec | 
     
       
      43.80
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      61.08
     
   | 
  inferences/sec | 
     
       
      9.27
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      33.74
     
   | 
  inferences/sec | 
     
       
      17.60
     
   | 
Industry Vertical Scores
| Energy | 5.37 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.62
     
   | 
  iterations/sec | 
     
       
      6.85
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      389.90
     
   | 
  iterations/sec | 
     
       
      24.30
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      49.19
     
   | 
  iterations/sec | 
     
       
      7.95
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      4.80
     
   | 
  sec | 
     
       
      4.05
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      227.54
     
   | 
  fps | 
     
       
      19.80
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      908.23
     
   | 
  points | 
     
       
      0.59
     
   | 
Industry Vertical Scores
| Financial Services | 7.19 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      280363.28
     
   | 
  options/sec | 
     
       
      7.98
     
   | 
| Black-Scholes | 3389.63 | 
     
      26469.12
     
   | 
  Moptions/sec | 
     
       
      7.81
     
   | 
| Binomial | 79377.62 | 
     
      473481.09
     
   | 
  options/sec | 
     
       
      5.96
     
   | 
Industry Vertical Scores
| Life Sciences | 4.64 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      3912.77
     
   | 
  tau/day | 
     
       
      5.54
     
   | 
| CHAIN | 1190.35 | 
     
      4950.29
     
   | 
  tau/day | 
     
       
      4.16
     
   | 
| EAM | 0.63 | 
     
      4.30
     
   | 
  ns/day | 
     
       
      6.82
     
   | 
| CHUTE | 38.25 | 
     
      113.43
     
   | 
  tau/day | 
     
       
      2.97
     
   | 
| RHODO | 0.26 | 
     
      1.32
     
   | 
  ns/day | 
     
       
      5.10
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      8.41
     
   | 
  ms/step | 
     
       
      5.40
     
   | 
| f1atpase | 130.50 | 
     
      24.57
     
   | 
  ms/step | 
     
       
      5.31
     
   | 
| stmv | 448.57 | 
     
      83.13
     
   | 
  ms/step | 
     
       
      5.40
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      4.70
     
   | 
  fps | 
     
       
      6.82
     
   | 
| HotSpot | 8.55 | 
     
      1.56
     
   | 
  sec | 
     
       
      5.48
     
   | 
| LavaMD | 0.07 | 
     
      0.58
     
   | 
  iterations/sec | 
     
       
      8.27
     
   | 
| SRAD | 47.04 | 
     
      487.06
     
   | 
  iterations/sec | 
     
       
      10.40
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      185.31
     
   | 
  fps | 
     
       
      19.20
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      734.49
     
   | 
  points | 
     
       
      0.59
     
   | 
Industry Vertical Scores
| Media & Entertainment | 3.73 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      13.78
     
   | 
  sec | 
     
       
      20.40
     
   | 
| BMW27 | 43.82 | 
     
      7.04
     
   | 
  sec | 
     
       
      6.22
     
   | 
| BMW1M | 17.74 | 
     
      3.19
     
   | 
  sec | 
     
       
      5.57
     
   | 
| Island | 29.68 | 
     
      20.03
     
   | 
  sec | 
     
       
      1.48
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      93.95
     
   | 
  sec | 
     
       
      2.08
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      18.54
     
   | 
  sec | 
     
       
      2.07
     
   | 
| x265 4K to 4K | 107.73 | 
     
      41.11
     
   | 
  sec | 
     
       
      2.62
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      7.13
     
   | 
  sec | 
     
       
      7.01
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      156.48
     
   | 
  fps | 
     
       
      0.92
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      609.64
     
   | 
  fps | 
     
       
      4.73
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      17.93
     
   | 
  Msamples/sec | 
     
       
      7.29
     
   | 
| Food | 1.84 | 
     
      13.65
     
   | 
  Msamples/sec | 
     
       
      7.42
     
   | 
| Danish Mood | 2.29 | 
     
      9.63
     
   | 
  Msamples/sec | 
     
       
      4.21
     
   | 
| Procedural Leaves | 1.10 | 
     
      7.70
     
   | 
  Msamples/sec | 
     
       
      7.00
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      274.31
     
   | 
  fps | 
     
       
      17.20
     
   | 
| maya | 62.09 | 
     
      696.51
     
   | 
  fps | 
     
       
      11.20
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      1815.22
     
   | 
  points | 
     
       
      0.55
     
   | 
| handbrake | 1897.99 | 
     
      1097.46
     
   | 
  points | 
     
       
      0.58
     
   | 
| maya | 2037.06 | 
     
      529.82
     
   | 
  points | 
     
       
      0.26
     
   | 
| MayaVenice | 472.63 | 
     
      383.80
     
   | 
  points | 
     
       
      0.81
     
   | 
| MandE | 1625.72 | 
     
      1153.28
     
   | 
  points | 
     
       
      0.71
     
   | 
Industry Vertical Scores
| Product Design | 3.04 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4973.00
     
   | 
  ms | 
     
       
      0.85
     
   | 
| Create/Update Files | 4973.68 | 
     
      5276.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Rebuild | 10590.28 | 
     
      10777.00
     
   | 
  ms | 
     
       
      0.98
     
   | 
| Render Style/Material | 628.78 | 
     
      573.00
     
   | 
  ms | 
     
       
      1.10
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      51.73
     
   | 
  fps | 
     
       
      2.13
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      50.13
     
   | 
  sec | 
     
       
      4.54
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      23.10
     
   | 
  sec | 
     
       
      34.80
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      474.37
     
   | 
  iterations/sec | 
     
       
      3.43
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      111.42
     
   | 
  fps | 
     
       
      6.34
     
   | 
| creo | 48.42 | 
     
      232.84
     
   | 
  fps | 
     
       
      4.81
     
   | 
| solidworks | 42.90 | 
     
      606.76
     
   | 
  fps | 
     
       
      14.10
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      80.27
     
   | 
  points | 
     
       
      0.06
     
   | 
| cfd | 1921.51 | 
     
      838.76
     
   | 
  points | 
     
       
      0.44
     
   | 
| icePack | 1543.34 | 
     
      848.14
     
   | 
  points | 
     
       
      0.55
     
   | 
| mcad | 2612.50 | 
     
      1356.98
     
   | 
  points | 
     
       
      0.52
     
   | 
| proddev | 659.82 | 
     
      172.96
     
   | 
  points | 
     
       
      0.26
     
   | 
Industry Vertical Scores
| Productivity & Development | 1.45 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      18.10
     
   | 
  sec | 
     
       
      0.89
     
   | 
| Compression | 254.57 | 
     
      34.15
     
   | 
  sec | 
     
       
      7.45
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      107.34
     
   | 
  sec | 
     
       
      5.24
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.05
     
   | 
  sec/operation | 
     
       
      1.14
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.13
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.37
     
   | 
  sec | 
     
       
      0.98
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.89
     
   | 
  sec | 
     
       
      0.91
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.55
     
   | 
  sec | 
     
       
      1.23
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.41
     
   | 
  sec | 
     
       
      1.49
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
| Multi-Matrix | 65.50 | 
     
      30.49
     
   | 
  sec | 
     
       
      2.15
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      154.91
     
   | 
  points | 
     
       
      0.36
     
   | 
| mozillaVS | 7708.43 | 
     
      2478.46
     
   | 
  points | 
     
       
      0.32
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            6.18
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      156.48
     
   | 
  fps | 
     
       
      0.92
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      609.64
     
   | 
  fps | 
     
       
      4.73
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      61.65
     
   | 
  inferences/sec | 
     
       
      15.70
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      84.15
     
   | 
  inferences/sec | 
     
       
      43.80
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      61.08
     
   | 
  inferences/sec | 
     
       
      9.27
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      33.74
     
   | 
  inferences/sec | 
     
       
      17.60
     
   | 
            4.07
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      18.10
     
   | 
  sec | 
     
       
      0.89
     
   | 
| Compression | 254.57 | 
     
      34.15
     
   | 
  sec | 
     
       
      7.45
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4973.00
     
   | 
  ms | 
     
       
      0.85
     
   | 
| Create/Update Files | 4973.68 | 
     
      5276.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
| Rebuild | 10590.28 | 
     
      10777.00
     
   | 
  ms | 
     
       
      0.98
     
   | 
| Render Style/Material | 628.78 | 
     
      573.00
     
   | 
  ms | 
     
       
      1.10
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      13.78
     
   | 
  sec | 
     
       
      20.40
     
   | 
| BMW27 | 43.82 | 
     
      7.04
     
   | 
  sec | 
     
       
      6.22
     
   | 
| BMW1M | 17.74 | 
     
      3.19
     
   | 
  sec | 
     
       
      5.57
     
   | 
| Island | 29.68 | 
     
      20.03
     
   | 
  sec | 
     
       
      1.48
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.62
     
   | 
  iterations/sec | 
     
       
      6.85
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      123.27
     
   | 
  sec | 
     
       
      1.07
     
   | 
| Scikit-learn | 449.17 | 
     
      79.93
     
   | 
  sec | 
     
       
      5.62
     
   | 
| XGBoost | 91.50 | 
     
      59.38
     
   | 
  sec | 
     
       
      1.54
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      93.95
     
   | 
  sec | 
     
       
      2.08
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      18.54
     
   | 
  sec | 
     
       
      2.07
     
   | 
| x265 4K to 4K | 107.73 | 
     
      41.11
     
   | 
  sec | 
     
       
      2.62
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      7.13
     
   | 
  sec | 
     
       
      7.01
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      51.73
     
   | 
  fps | 
     
       
      2.13
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      3912.77
     
   | 
  tau/day | 
     
       
      5.54
     
   | 
| CHAIN | 1190.35 | 
     
      4950.29
     
   | 
  tau/day | 
     
       
      4.16
     
   | 
| EAM | 0.63 | 
     
      4.30
     
   | 
  ns/day | 
     
       
      6.82
     
   | 
| CHUTE | 38.25 | 
     
      113.43
     
   | 
  tau/day | 
     
       
      2.97
     
   | 
| RHODO | 0.26 | 
     
      1.32
     
   | 
  ns/day | 
     
       
      5.10
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      107.34
     
   | 
  sec | 
     
       
      5.24
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      17.93
     
   | 
  Msamples/sec | 
     
       
      7.29
     
   | 
| Food | 1.84 | 
     
      13.65
     
   | 
  Msamples/sec | 
     
       
      7.42
     
   | 
| Danish Mood | 2.29 | 
     
      9.63
     
   | 
  Msamples/sec | 
     
       
      4.21
     
   | 
| Procedural Leaves | 1.10 | 
     
      7.70
     
   | 
  Msamples/sec | 
     
       
      7.00
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      50.13
     
   | 
  sec | 
     
       
      4.54
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      8.41
     
   | 
  ms/step | 
     
       
      5.40
     
   | 
| f1atpase | 130.50 | 
     
      24.57
     
   | 
  ms/step | 
     
       
      5.31
     
   | 
| stmv | 448.57 | 
     
      83.13
     
   | 
  ms/step | 
     
       
      5.40
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      1.05
     
   | 
  sec/operation | 
     
       
      1.14
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.13
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      24.76
     
   | 
  ms | 
     
       
      2.57
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      85.51
     
   | 
  inferences/sec | 
     
       
      4.67
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      14.17
     
   | 
  ms | 
     
       
      1.58
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      241.61
     
   | 
  inferences/sec | 
     
       
      5.18
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      38.26
     
   | 
  ms | 
     
       
      1.53
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      123.23
     
   | 
  inferences/sec | 
     
       
      5.90
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      25.84
     
   | 
  ms | 
     
       
      0.83
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      136.13
     
   | 
  inferences/sec | 
     
       
      2.43
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      23.10
     
   | 
  sec | 
     
       
      34.80
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      280363.28
     
   | 
  options/sec | 
     
       
      7.98
     
   | 
| Black-Scholes | 3389.63 | 
     
      26469.12
     
   | 
  Moptions/sec | 
     
       
      7.81
     
   | 
| Binomial | 79377.62 | 
     
      473481.09
     
   | 
  options/sec | 
     
       
      5.96
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      389.90
     
   | 
  iterations/sec | 
     
       
      24.30
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      49.19
     
   | 
  iterations/sec | 
     
       
      7.95
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.37
     
   | 
  sec | 
     
       
      0.98
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.89
     
   | 
  sec | 
     
       
      0.91
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.55
     
   | 
  sec | 
     
       
      1.23
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.41
     
   | 
  sec | 
     
       
      1.49
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
| Multi-Matrix | 65.50 | 
     
      30.49
     
   | 
  sec | 
     
       
      2.15
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      474.37
     
   | 
  iterations/sec | 
     
       
      3.43
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      4.70
     
   | 
  fps | 
     
       
      6.82
     
   | 
| HotSpot | 8.55 | 
     
      1.56
     
   | 
  sec | 
     
       
      5.48
     
   | 
| LavaMD | 0.07 | 
     
      0.58
     
   | 
  iterations/sec | 
     
       
      8.27
     
   | 
| SRAD | 47.04 | 
     
      487.06
     
   | 
  iterations/sec | 
     
       
      10.40
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      4.80
     
   | 
  sec | 
     
       
      4.05
     
   | 
            11.78
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      274.31
     
   | 
  fps | 
     
       
      17.20
     
   | 
| catia | 17.57 | 
     
      111.42
     
   | 
  fps | 
     
       
      6.34
     
   | 
| creo | 48.42 | 
     
      232.84
     
   | 
  fps | 
     
       
      4.81
     
   | 
| energy | 11.48 | 
     
      227.54
     
   | 
  fps | 
     
       
      19.80
     
   | 
| maya | 62.09 | 
     
      696.51
     
   | 
  fps | 
     
       
      11.20
     
   | 
| medical | 9.63 | 
     
      185.31
     
   | 
  fps | 
     
       
      19.20
     
   | 
| solidworks | 42.90 | 
     
      606.76
     
   | 
  fps | 
     
       
      14.10
     
   | 
            0.41
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      1815.22
     
   | 
  points | 
     
       
      0.55
     
   | 
| 7zip | 431.06 | 
     
      154.91
     
   | 
  points | 
     
       
      0.36
     
   | 
| ccx | 1398.45 | 
     
      80.27
     
   | 
  points | 
     
       
      0.06
     
   | 
| cfd | 1921.51 | 
     
      838.76
     
   | 
  points | 
     
       
      0.44
     
   | 
| energy | 1547.93 | 
     
      908.23
     
   | 
  points | 
     
       
      0.59
     
   | 
| handbrake | 1897.99 | 
     
      1097.46
     
   | 
  points | 
     
       
      0.58
     
   | 
| icePack | 1543.34 | 
     
      848.14
     
   | 
  points | 
     
       
      0.55
     
   | 
| maya | 2037.06 | 
     
      529.82
     
   | 
  points | 
     
       
      0.26
     
   | 
| MayaVenice | 472.63 | 
     
      383.80
     
   | 
  points | 
     
       
      0.81
     
   | 
| MandE | 1625.72 | 
     
      1153.28
     
   | 
  points | 
     
       
      0.71
     
   | 
| mcad | 2612.50 | 
     
      1356.98
     
   | 
  points | 
     
       
      0.52
     
   | 
| mozillaVS | 7708.43 | 
     
      2478.46
     
   | 
  points | 
     
       
      0.32
     
   | 
| namd | 1250.61 | 
     
      734.49
     
   | 
  points | 
     
       
      0.59
     
   | 
| proddev | 659.82 | 
     
      172.96
     
   | 
  points | 
     
       
      0.26
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2024, 1:24:42 PM PST | 
                         
                             3.93
                         
                     | 
                ||||
| Decompression | 18.10 sec | 16.04 | 
     
      18.10
     
   | 
  sec | 
     
       
      0.89
     
   | 
|
| Compression | 34.15 sec | 254.57 | 
     
      34.15
     
   | 
  sec | 
     
       
      7.45
     
   | 
|
| Autodesk Inventor | Nov 19, 2024, 1:25:39 PM PST | 
                         
                             0.97
                         
                     | 
                ||||
| Open Document | 5.18 sec | 4253.73 | 
     
      4973.00
     
   | 
  ms | 
     
       
      0.85
     
   | 
|
| Create/Update Files | 7.06 sec | 4973.68 | 
     
      5276.00
     
   | 
  ms | 
     
       
      0.94
     
   | 
|
| Rebuild | 10.99 sec | 10590.28 | 
     
      10777.00
     
   | 
  ms | 
     
       
      0.98
     
   | 
|
| Render Style/Material | 0.79 sec | 628.78 | 
     
      573.00
     
   | 
  ms | 
     
       
      1.10
     
   | 
|
| Blender | Nov 19, 2024, 1:26:29 PM PST | 
                         
                             5.69
                         
                     | 
                ||||
| Classroom | 13.78 sec | 281.72 | 
     
      13.78
     
   | 
  sec | 
     
       
      20.40
     
   | 
|
| BMW27 | 7.04 sec | 43.82 | 
     
      7.04
     
   | 
  sec | 
     
       
      6.22
     
   | 
|
| BMW1M | 3.19 sec | 17.74 | 
     
      3.19
     
   | 
  sec | 
     
       
      5.57
     
   | 
|
| Island | 20.03 sec | 29.68 | 
     
      20.03
     
   | 
  sec | 
     
       
      1.48
     
   | 
|
| Convolution | Nov 19, 2024, 1:27:18 PM PST | 
                         
                             6.85
                         
                     | 
                ||||
| 20K/100 | 32.77 sec | 0.09 | 
     
      0.62
     
   | 
  iterations/sec | 
     
       
      6.85
     
   | 
|
| Data Science | Nov 19, 2024, 1:27:51 PM PST | 
                         
                             2.10
                         
                     | 
                ||||
| Pandas | 128.56 sec | 131.99 | 
     
      123.27
     
   | 
  sec | 
     
       
      1.07
     
   | 
|
| Scikit-learn | 84.21 sec | 449.17 | 
     
      79.93
     
   | 
  sec | 
     
       
      5.62
     
   | 
|
| XGBoost | 81.52 sec | 91.50 | 
     
      59.38
     
   | 
  sec | 
     
       
      1.54
     
   | 
|
| HandBrake | Nov 19, 2024, 1:33:02 PM PST | 
                         
                             2.65
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 93.95 sec | 195.16 | 
     
      93.95
     
   | 
  sec | 
     
       
      2.08
     
   | 
|
| x265 4K to 1080p | 20.02 sec | 38.36 | 
     
      18.54
     
   | 
  sec | 
     
       
      2.07
     
   | 
|
| x265 4K to 4K | 42.65 sec | 107.73 | 
     
      41.11
     
   | 
  sec | 
     
       
      2.62
     
   | 
|
| x264 1080p to 1080p | 7.13 sec | 49.98 | 
     
      7.13
     
   | 
  sec | 
     
       
      7.01
     
   | 
|
| GPU H.265 4K to 4K | 43.78 sec | 169.65 | 
     
      156.48
     
   | 
  fps | 
     
       
      0.92
     
   | 
|
| GPU H.265 4K to 1080p | 193.55 sec | 128.84 | 
     
      609.64
     
   | 
  fps | 
     
       
      4.73
     
   | 
|
| Hidden Line Removal | Nov 19, 2024, 1:39:49 PM PST | 
                         
                             2.13
                         
                     | 
                ||||
| Palatov | 17.23 sec | 24.29 | 
     
      48.09
     
   | 
  fps | 
     
       
      1.98
     
   | 
|
| Palatov | 17.34 sec | 24.29 | 
     
      51.73
     
   | 
  fps | 
     
       
      2.13
     
   | 
|
| LAMMPS | Nov 19, 2024, 1:40:25 PM PST | 
                         
                             4.74
                         
                     | 
                ||||
| LJ | 5.89 sec | 705.82 | 
     
      3912.77
     
   | 
  tau/day | 
     
       
      5.54
     
   | 
|
| CHAIN | 11.58 sec | 1190.35 | 
     
      4950.29
     
   | 
  tau/day | 
     
       
      4.16
     
   | 
|
| EAM | 4.62 sec | 0.63 | 
     
      4.30
     
   | 
  ns/day | 
     
       
      6.82
     
   | 
|
| CHUTE | 5.76 sec | 38.25 | 
     
      113.43
     
   | 
  tau/day | 
     
       
      2.97
     
   | 
|
| RHODO | 5.86 sec | 0.26 | 
     
      1.32
     
   | 
  ns/day | 
     
       
      5.10
     
   | 
|
| LLVM Clang | Nov 19, 2024, 1:40:59 PM PST | 
                         
                             5.24
                         
                     | 
                ||||
| PyTorch | 132.52 sec | 562.76 | 
     
      107.34
     
   | 
  sec | 
     
       
      5.24
     
   | 
|
| LuxCoreRender | Nov 19, 2024, 1:44:23 PM PST | 
                         
                             6.32
                         
                     | 
                ||||
| DLSC | 5.07 sec | 2.46 | 
     
      17.93
     
   | 
  Msamples/sec | 
     
       
      7.29
     
   | 
|
| Food | 9.34 sec | 1.84 | 
     
      13.65
     
   | 
  Msamples/sec | 
     
       
      7.42
     
   | 
|
| Danish Mood | 17.62 sec | 2.29 | 
     
      9.63
     
   | 
  Msamples/sec | 
     
       
      4.21
     
   | 
|
| Procedural Leaves | 8.40 sec | 1.10 | 
     
      7.70
     
   | 
  Msamples/sec | 
     
       
      7.00
     
   | 
|
| MFEM | Nov 19, 2024, 1:45:03 PM PST | 
                         
                             4.54
                         
                     | 
                ||||
| Dynamic AMR | 50.13 sec | 227.39 | 
     
      50.13
     
   | 
  sec | 
     
       
      4.54
     
   | 
|
| NAMD | Nov 19, 2024, 1:45:54 PM PST | 
                         
                             5.37
                         
                     | 
                ||||
| apoa1 | 14.00 sec | 45.38 | 
     
      8.41
     
   | 
  ms/step | 
     
       
      5.40
     
   | 
|
| f1atpase | 20.17 sec | 130.50 | 
     
      24.57
     
   | 
  ms/step | 
     
       
      5.31
     
   | 
|
| stmv | 38.50 sec | 448.57 | 
     
      83.13
     
   | 
  ms/step | 
     
       
      5.40
     
   | 
|
| Octave | Nov 19, 2024, 1:47:06 PM PST | 
                         
                             1.13
                         
                     | 
                ||||
| obench | 43.83 sec | 1.20 | 
     
      1.05
     
   | 
  sec/operation | 
     
       
      1.14
     
   | 
|
| benchmark2 | 11.76 sec | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.13
     
   | 
|
| ONNX Inference | Nov 19, 2024, 1:48:14 PM PST | 
                         
                             4.92
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.28 sec | 63.72 | 
     
      24.76
     
   | 
  ms | 
     
       
      2.57
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.69 sec | 18.33 | 
     
      65.91
     
   | 
  inferences/sec | 
     
       
      3.60
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.78 sec | 18.33 | 
     
      85.51
     
   | 
  inferences/sec | 
     
       
      4.67
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 | 
     
      14.17
     
   | 
  ms | 
     
       
      1.58
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 21.00 sec | 46.62 | 
     
      196.30
     
   | 
  inferences/sec | 
     
       
      4.21
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.96 sec | 46.62 | 
     
      241.61
     
   | 
  inferences/sec | 
     
       
      5.18
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 | 
     
      38.26
     
   | 
  ms | 
     
       
      1.53
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.81 sec | 20.87 | 
     
      123.23
     
   | 
  inferences/sec | 
     
       
      5.90
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 22.74 sec | 20.87 | 
     
      71.21
     
   | 
  inferences/sec | 
     
       
      3.41
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.15 sec | 21.34 | 
     
      25.84
     
   | 
  ms | 
     
       
      0.83
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.38 sec | 55.92 | 
     
      136.13
     
   | 
  inferences/sec | 
     
       
      2.43
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.48 sec | 55.92 | 
     
      131.56
     
   | 
  inferences/sec | 
     
       
      2.35
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.40 sec | 3.92 | 
     
      61.65
     
   | 
  inferences/sec | 
     
       
      15.70
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.57 sec | 1.92 | 
     
      84.15
     
   | 
  inferences/sec | 
     
       
      43.80
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.52 sec | 6.59 | 
     
      61.08
     
   | 
  inferences/sec | 
     
       
      9.27
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.89 sec | 1.92 | 
     
      33.74
     
   | 
  inferences/sec | 
     
       
      17.60
     
   | 
|
| OpenFOAM | Nov 19, 2024, 1:53:54 PM PST | 
                         
                             34.80
                         
                     | 
                ||||
| XiFoam Solver | 46.41 sec | 803.27 | 
     
      28.73
     
   | 
  sec | 
     
       
      28.00
     
   | 
|
| XiFoam Solver | 35.24 sec | 803.27 | 
     
      23.10
     
   | 
  sec | 
     
       
      34.80
     
   | 
|
| Options Pricing | Nov 19, 2024, 1:55:20 PM PST | 
                         
                             7.19
                         
                     | 
                ||||
| Monte Carlo | 3.83 sec | 35137.48 | 
     
      280363.28
     
   | 
  options/sec | 
     
       
      7.98
     
   | 
|
| Black-Scholes | 4.04 sec | 3389.63 | 
     
      26469.12
     
   | 
  Moptions/sec | 
     
       
      7.81
     
   | 
|
| Binomial | 2.29 sec | 79377.62 | 
     
      473481.09
     
   | 
  options/sec | 
     
       
      5.96
     
   | 
|
| Poisson | Nov 19, 2024, 1:55:30 PM PST | 
                         
                             13.90
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.11 sec | 16.05 | 
     
      389.90
     
   | 
  iterations/sec | 
     
       
      24.30
     
   | 
|
| Jacobi Rectangular Grid | 10.06 sec | 16.05 | 
     
      331.31
     
   | 
  iterations/sec | 
     
       
      20.60
     
   | 
|
| Jacobi Square Grid | 10.11 sec | 6.19 | 
     
      49.19
     
   | 
  iterations/sec | 
     
       
      7.95
     
   | 
|
| Jacobi Square Grid | 10.10 sec | 6.19 | 
     
      24.12
     
   | 
  iterations/sec | 
     
       
      3.90
     
   | 
|
| Python 3 | Nov 19, 2024, 1:56:10 PM PST | 
                         
                             1.53
                         
                     | 
                ||||
| NumPy Create Matrix | 1.31 sec | 0.36 | 
     
      0.37
     
   | 
  sec | 
     
       
      0.98
     
   | 
|
| NumPy Add Matrix | 5.60 sec | 4.44 | 
     
      4.89
     
   | 
  sec | 
     
       
      0.91
     
   | 
|
| NumPy Multiply Matrix | 7.28 sec | 8.06 | 
     
      6.55
     
   | 
  sec | 
     
       
      1.23
     
   | 
|
| NumPy Invert Matrix | 11.15 sec | 15.53 | 
     
      10.41
     
   | 
  sec | 
     
       
      1.49
     
   | 
|
| NumPy Sin Matrix | 3.56 sec | 2.67 | 
     
      2.83
     
   | 
  sec | 
     
       
      0.94
     
   | 
|
| Multi-Matrix | 31.17 sec | 65.50 | 
     
      30.49
     
   | 
  sec | 
     
       
      2.15
     
   | 
|
| Rodinia CFD | Nov 19, 2024, 1:57:20 PM PST | 
                         
                             3.43
                         
                     | 
                ||||
| Pre-Euler | 33.28 sec | 138.14 | 
     
      474.37
     
   | 
  iterations/sec | 
     
       
      3.43
     
   | 
|
| Rodinia Life Sciences | Nov 19, 2024, 1:57:54 PM PST | 
                         
                             7.53
                         
                     | 
                ||||
| Heart Wall | 10.43 sec | 0.69 | 
     
      4.70
     
   | 
  fps | 
     
       
      6.82
     
   | 
|
| HotSpot | 2.80 sec | 8.55 | 
     
      1.56
     
   | 
  sec | 
     
       
      5.48
     
   | 
|
| LavaMD | 10.78 sec | 0.07 | 
     
      0.58
     
   | 
  iterations/sec | 
     
       
      8.27
     
   | 
|
| SRAD | 10.28 sec | 47.04 | 
     
      487.06
     
   | 
  iterations/sec | 
     
       
      10.40
     
   | 
|
| SRMP | Nov 19, 2024, 1:58:28 PM PST | 
                         
                             4.05
                         
                     | 
                ||||
| 2D | 5.20 sec | 19.45 | 
     
      4.80
     
   | 
  sec | 
     
       
      4.05
     
   | 
|
| Viewport Graphics | Nov 19, 2024, 1:58:34 PM PST | 
                         
                             11.80
                         
                     | 
                ||||
| 3dsmax | 120.91 sec | 15.96 | 
     
      274.31
     
   | 
  fps | 
     
       
      17.20
     
   | 
|
| catia | 116.52 sec | 17.57 | 
     
      111.42
     
   | 
  fps | 
     
       
      6.34
     
   | 
|
| creo | 121.06 sec | 48.42 | 
     
      232.84
     
   | 
  fps | 
     
       
      4.81
     
   | 
|
| energy | 100.57 sec | 11.48 | 
     
      227.54
     
   | 
  fps | 
     
       
      19.80
     
   | 
|
| maya | 88.44 sec | 62.09 | 
     
      696.51
     
   | 
  fps | 
     
       
      11.20
     
   | 
|
| medical | 81.15 sec | 9.63 | 
     
      185.31
     
   | 
  fps | 
     
       
      19.20
     
   | 
|
| solidworks | 77.97 sec | 42.90 | 
     
      606.76
     
   | 
  fps | 
     
       
      14.10
     
   | 
|
| WPCstorage | Nov 19, 2024, 2:11:45 PM PST | 
                         
                             0.41
                         
                     | 
                ||||
| 3dsmax | 90.83 sec | 3299.42 | 
     
      1815.22
     
   | 
  points | 
     
       
      0.55
     
   | 
|
| 7zip | 146.79 sec | 431.06 | 
     
      154.91
     
   | 
  points | 
     
       
      0.36
     
   | 
|
| ccx | 16.90 sec | 1398.45 | 
     
      80.27
     
   | 
  points | 
     
       
      0.06
     
   | 
|
| cfd | 14.35 sec | 1921.51 | 
     
      838.76
     
   | 
  points | 
     
       
      0.44
     
   | 
|
| energy | 26.68 sec | 1547.93 | 
     
      908.23
     
   | 
  points | 
     
       
      0.59
     
   | 
|
| handbrake | 18.73 sec | 1897.99 | 
     
      1097.46
     
   | 
  points | 
     
       
      0.58
     
   | 
|
| icePack | 82.72 sec | 1543.34 | 
     
      848.14
     
   | 
  points | 
     
       
      0.55
     
   | 
|
| maya | 151.71 sec | 2037.06 | 
     
      529.82
     
   | 
  points | 
     
       
      0.26
     
   | 
|
| MayaVenice | 38.98 sec | 472.63 | 
     
      383.80
     
   | 
  points | 
     
       
      0.81
     
   | 
|
| MandE | 26.45 sec | 1625.72 | 
     
      1153.28
     
   | 
  points | 
     
       
      0.71
     
   | 
|
| mcad | 106.34 sec | 2612.50 | 
     
      1356.98
     
   | 
  points | 
     
       
      0.52
     
   | 
|
| mozillaVS | 44.56 sec | 7708.43 | 
     
      2478.46
     
   | 
  points | 
     
       
      0.32
     
   | 
|
| namd | 23.00 sec | 1250.61 | 
     
      734.49
     
   | 
  points | 
     
       
      0.59
     
   | 
|
| proddev | 27.20 sec | 659.82 | 
     
      172.96
     
   | 
  points | 
     
       
      0.26
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 00RP38Model: Precision 7875 Tower
Version: X02
Manufacturer: Dell Inc.
Serial Number: /7875T24/CNFCW00362006T/
BIOS: Dell Inc. 1.0.0
BIOS Version: DELL - 0 (2023-09-08)
      
      PROCESSOR
    
    CPU #1: AMD Ryzen Threadripper PRO 7995WX 96-Cores      (2501MHz / 96C / 192T)
      
      MEMORY
    
    P0 CHANNEL A (DIMM 1): 80CE869D80CE M321R4GA3PB0-CWMXH             (32.00 GB / 5200 MHz / DDR5)P0 CHANNEL C (DIMM 3): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
P0 CHANNEL E (DIMM 2): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
P0 CHANNEL G (DIMM 4): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
Total Memory: 128.00 GB
      
      STORAGE
    
    Disk #1: Micron 2450 NVMe 256GB (238.47 GB - SCSI)Partition 1: GPT: System (0.10 GB)
Partition 2: GPT: Basic Data (237.82 GB)
Partition 3: GPT: Unknown (0.54 GB)
Disk #2: WDC WD10EZEX-75WN4A1 (931.51 GB - IDE)
Partition 1: GPT: Basic Data (931.50 GB)
Available Volumes
C: (): NTFS (103.71 GB of 237.82 GB Available)
D: (): (0.00 GB of 0.00 GB Available)
E: (New Volume): NTFS (931.36 GB of 931.50 GB Available)
      
      NETWORK
    
    Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 00:BE:43:BE:2F:44 | Speed: Not Connected
Adapter #2: Marvell AQtion 10Gbit Network Adapter #2
Type: Ethernet 802.3 | MAC: 00:BE:43:BE:2F:45 | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: AMD Radeon PRO W7900Video Memory: 47.98 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
        
        DISPLAY
      
      Display #1: DELL INC. DELL P2719HC 27.2" (1920x1080)Model: 4187 | S/N: FNSF5N2 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22616.1 (Release 2009)
Installation Date: 2023-06-28
Free Memory: 119.93 GB (Physical) | 125.24 GB (Virtual) | 8.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Not Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)