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 | LENOVO | 
| Model | Lenovo ThinkStation P8 | 
| CPU | AMD Ryzen Threadripper PRO 7995WX 96-Cores | 
| Memory | 512.00 GB @ 4800 MHz | 
| GPU | NVIDIA RTX 6000 Ada Generation | 
| Display | LEN P27u-10 27.2" (3840x2160) | 
          
| Storage | Drive 1: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 2: WD PC SN810 SDCQNRY-1T00-1201 953.86 GB - SCSI Drive 3: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 4: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 5: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI  | 
          
| OS | Microsoft Windows 11 Pro (26100) | 
Submission Details
| Result Date | Wed Nov 20 2024 10:31:29 GMT-0500 (Eastern Standard Time) | 
| Submitter Company | |
| Submitter Name | |
| Submitter Comments | 
Industry Vertical Scores
AI & Machine Learning  | 
          3.82 | 
Energy  | 
          7.68 | 
Financial Services  | 
          7.63 | 
Life Sciences  | 
          6.30 | 
Media & Entertainment  | 
          4.71 | 
Product Design  | 
          3.99 | 
Productivity & Development  | 
          2.15 | 
Hardware Subsystem Scores
| CPU | 4.38 | 
| Accelerator | 6.63 | 
| Graphics | 13.67 | 
| Storage | 1.67 | 
| Workload | SPEC Ratio | 
|---|---|
| 7-Zip | 3.88 | 
| Autodesk Inventor | 0.93 | 
| Blender | 5.74 | 
| Convolution | 7.35 | 
| Data Science | 2.29 | 
| HandBrake | 2.48 | 
| Hidden Line Removal | 2.02 | 
| LAMMPS | 6.58 | 
| LLVM Clang | 4.87 | 
| LuxCoreRender | 6.64 | 
| MFEM | 4.42 | 
| NAMD | 5.95 | 
| Octave | 1.18 | 
| ONNX Inference | 6.36 | 
| OpenFOAM | 37.10 | 
| Options Pricing | 7.63 | 
| Poisson | 19.30 | 
| Python 3 | 1.44 | 
| Rodinia CFD | 4.00 | 
| Rodinia Life Sciences | 7.66 | 
| SRMP | 5.23 | 
| Viewport Graphics | 13.70 | 
| WPCstorage | 1.67 | 
Industry Vertical Scores
| AI & Machine Learning | 3.82 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      122.99
     
   | 
  sec | 
     
       
      1.07
     
   | 
| Scikit-learn | 449.17 | 
     
      62.77
     
   | 
  sec | 
     
       
      7.16
     
   | 
| XGBoost | 91.50 | 
     
      58.22
     
   | 
  sec | 
     
       
      1.57
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      21.49
     
   | 
  ms | 
     
       
      2.97
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      104.58
     
   | 
  inferences/sec | 
     
       
      5.71
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      12.78
     
   | 
  ms | 
     
       
      1.75
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      325.35
     
   | 
  inferences/sec | 
     
       
      6.98
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      37.47
     
   | 
  ms | 
     
       
      1.56
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      168.85
     
   | 
  inferences/sec | 
     
       
      8.09
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      22.27
     
   | 
  ms | 
     
       
      0.96
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      249.74
     
   | 
  inferences/sec | 
     
       
      4.47
     
   | 
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      83.99
     
   | 
  inferences/sec | 
     
       
      21.40
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      134.51
     
   | 
  inferences/sec | 
     
       
      70.10
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      53.27
     
   | 
  inferences/sec | 
     
       
      8.08
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      61.70
     
   | 
  inferences/sec | 
     
       
      32.10
     
   | 
Industry Vertical Scores
| Energy | 7.68 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.66
     
   | 
  iterations/sec | 
     
       
      7.35
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      464.87
     
   | 
  iterations/sec | 
     
       
      29.00
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      79.87
     
   | 
  iterations/sec | 
     
       
      12.90
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      3.72
     
   | 
  sec | 
     
       
      5.23
     
   | 
| Viewport Graphics | 
                | 
               |||
| energy | 11.48 | 
     
      322.52
     
   | 
  fps | 
     
       
      28.10
     
   | 
| WPCstorage | 
                | 
               |||
| energy | 1547.93 | 
     
      1981.45
     
   | 
  points | 
     
       
      1.28
     
   | 
Industry Vertical Scores
| Financial Services | 7.63 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      300880.14
     
   | 
  options/sec | 
     
       
      8.56
     
   | 
| Black-Scholes | 3389.63 | 
     
      27853.77
     
   | 
  Moptions/sec | 
     
       
      8.22
     
   | 
| Binomial | 79377.62 | 
     
      501514.29
     
   | 
  options/sec | 
     
       
      6.32
     
   | 
Industry Vertical Scores
| Life Sciences | 6.30 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      5152.01
     
   | 
  tau/day | 
     
       
      7.30
     
   | 
| CHAIN | 1190.35 | 
     
      8063.39
     
   | 
  tau/day | 
     
       
      6.77
     
   | 
| EAM | 0.63 | 
     
      5.08
     
   | 
  ns/day | 
     
       
      8.06
     
   | 
| CHUTE | 38.25 | 
     
      203.46
     
   | 
  tau/day | 
     
       
      5.32
     
   | 
| RHODO | 0.26 | 
     
      1.51
     
   | 
  ns/day | 
     
       
      5.83
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      7.98
     
   | 
  ms/step | 
     
       
      5.69
     
   | 
| f1atpase | 130.50 | 
     
      22.42
     
   | 
  ms/step | 
     
       
      5.82
     
   | 
| stmv | 448.57 | 
     
      70.60
     
   | 
  ms/step | 
     
       
      6.35
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      5.08
     
   | 
  fps | 
     
       
      7.37
     
   | 
| HotSpot | 8.55 | 
     
      1.68
     
   | 
  sec | 
     
       
      5.10
     
   | 
| LavaMD | 0.07 | 
     
      0.63
     
   | 
  iterations/sec | 
     
       
      8.97
     
   | 
| SRAD | 47.04 | 
     
      479.24
     
   | 
  iterations/sec | 
     
       
      10.20
     
   | 
| Viewport Graphics | 
                | 
               |||
| medical | 9.63 | 
     
      225.15
     
   | 
  fps | 
     
       
      23.40
     
   | 
| WPCstorage | 
                | 
               |||
| namd | 1250.61 | 
     
      1762.75
     
   | 
  points | 
     
       
      1.41
     
   | 
Industry Vertical Scores
| Media & Entertainment | 4.71 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      13.38
     
   | 
  sec | 
     
       
      21.10
     
   | 
| BMW27 | 43.82 | 
     
      6.38
     
   | 
  sec | 
     
       
      6.87
     
   | 
| BMW1M | 17.74 | 
     
      2.94
     
   | 
  sec | 
     
       
      6.02
     
   | 
| Island | 29.68 | 
     
      23.93
     
   | 
  sec | 
     
       
      1.24
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      96.16
     
   | 
  sec | 
     
       
      2.03
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      18.86
     
   | 
  sec | 
     
       
      2.03
     
   | 
| x265 4K to 4K | 107.73 | 
     
      40.30
     
   | 
  sec | 
     
       
      2.67
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      7.28
     
   | 
  sec | 
     
       
      6.87
     
   | 
| GPU H.265 4K to 4K | 169.65 | 
     
      136.45
     
   | 
  fps | 
     
       
      0.80
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      495.87
     
   | 
  fps | 
     
       
      3.85
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      17.75
     
   | 
  Msamples/sec | 
     
       
      7.22
     
   | 
| Food | 1.84 | 
     
      14.21
     
   | 
  Msamples/sec | 
     
       
      7.72
     
   | 
| Danish Mood | 2.29 | 
     
      9.83
     
   | 
  Msamples/sec | 
     
       
      4.29
     
   | 
| Procedural Leaves | 1.10 | 
     
      8.96
     
   | 
  Msamples/sec | 
     
       
      8.15
     
   | 
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      324.27
     
   | 
  fps | 
     
       
      20.30
     
   | 
| maya | 62.09 | 
     
      655.39
     
   | 
  fps | 
     
       
      10.60
     
   | 
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4939.38
     
   | 
  points | 
     
       
      1.50
     
   | 
| handbrake | 1897.99 | 
     
      3082.39
     
   | 
  points | 
     
       
      1.62
     
   | 
| maya | 2037.06 | 
     
      4872.33
     
   | 
  points | 
     
       
      2.39
     
   | 
| MayaVenice | 472.63 | 
     
      906.71
     
   | 
  points | 
     
       
      1.92
     
   | 
| MandE | 1625.72 | 
     
      1845.93
     
   | 
  points | 
     
       
      1.14
     
   | 
Industry Vertical Scores
| Product Design | 3.99 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4740.00
     
   | 
  ms | 
     
       
      0.90
     
   | 
| Create/Update Files | 4973.68 | 
     
      5339.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Rebuild | 10590.28 | 
     
      10443.00
     
   | 
  ms | 
     
       
      1.01
     
   | 
| Render Style/Material | 628.78 | 
     
      713.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      49.18
     
   | 
  fps | 
     
       
      2.02
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      51.45
     
   | 
  sec | 
     
       
      4.42
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      21.66
     
   | 
  sec | 
     
       
      37.10
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      552.90
     
   | 
  iterations/sec | 
     
       
      4.00
     
   | 
| Viewport Graphics | 
                | 
               |||
| catia | 17.57 | 
     
      158.87
     
   | 
  fps | 
     
       
      9.04
     
   | 
| creo | 48.42 | 
     
      224.42
     
   | 
  fps | 
     
       
      4.63
     
   | 
| solidworks | 42.90 | 
     
      646.74
     
   | 
  fps | 
     
       
      15.10
     
   | 
| WPCstorage | 
                | 
               |||
| ccx | 1398.45 | 
     
      2600.89
     
   | 
  points | 
     
       
      1.86
     
   | 
| cfd | 1921.51 | 
     
      2854.87
     
   | 
  points | 
     
       
      1.49
     
   | 
| icePack | 1543.34 | 
     
      1869.40
     
   | 
  points | 
     
       
      1.21
     
   | 
| mcad | 2612.50 | 
     
      5542.11
     
   | 
  points | 
     
       
      2.12
     
   | 
| proddev | 659.82 | 
     
      735.07
     
   | 
  points | 
     
       
      1.11
     
   | 
Industry Vertical Scores
| Productivity & Development | 2.15 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      16.60
     
   | 
  sec | 
     
       
      0.97
     
   | 
| Compression | 254.57 | 
     
      36.19
     
   | 
  sec | 
     
       
      7.04
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      115.67
     
   | 
  sec | 
     
       
      4.87
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      0.99
     
   | 
  sec/operation | 
     
       
      1.21
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.16
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.69
     
   | 
  sec | 
     
       
      0.53
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.71
     
   | 
  sec | 
     
       
      0.94
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.62
     
   | 
  sec | 
     
       
      1.22
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.00
     
   | 
  sec | 
     
       
      1.55
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.79
     
   | 
  sec | 
     
       
      0.96
     
   | 
| Multi-Matrix | 65.50 | 
     
      30.93
     
   | 
  sec | 
     
       
      2.12
     
   | 
| WPCstorage | 
                | 
               |||
| 7zip | 431.06 | 
     
      1791.79
     
   | 
  points | 
     
       
      4.16
     
   | 
| mozillaVS | 7708.43 | 
     
      13988.20
     
   | 
  points | 
     
       
      1.81
     
   | 
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
            6.63
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| HandBrake | 
                | 
               |||
| GPU H.265 4K to 4K | 169.65 | 
     
      136.45
     
   | 
  fps | 
     
       
      0.80
     
   | 
| GPU H.265 4K to 1080p | 128.84 | 
     
      495.87
     
   | 
  fps | 
     
       
      3.85
     
   | 
| ONNX Inference | 
                | 
               |||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 | 
     
      83.99
     
   | 
  inferences/sec | 
     
       
      21.40
     
   | 
| GPU ResNet50-INT8-batch32 Throughput | 1.92 | 
     
      134.51
     
   | 
  inferences/sec | 
     
       
      70.10
     
   | 
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 | 
     
      53.27
     
   | 
  inferences/sec | 
     
       
      8.08
     
   | 
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 | 
     
      61.70
     
   | 
  inferences/sec | 
     
       
      32.10
     
   | 
            4.38
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| 7-Zip | 
                | 
               |||
| Decompression | 16.04 | 
     
      16.60
     
   | 
  sec | 
     
       
      0.97
     
   | 
| Compression | 254.57 | 
     
      36.19
     
   | 
  sec | 
     
       
      7.04
     
   | 
| Autodesk Inventor | 
                | 
               |||
| Open Document | 4253.73 | 
     
      4740.00
     
   | 
  ms | 
     
       
      0.90
     
   | 
| Create/Update Files | 4973.68 | 
     
      5339.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
| Rebuild | 10590.28 | 
     
      10443.00
     
   | 
  ms | 
     
       
      1.01
     
   | 
| Render Style/Material | 628.78 | 
     
      713.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
| Blender | 
                | 
               |||
| Classroom | 281.72 | 
     
      13.38
     
   | 
  sec | 
     
       
      21.10
     
   | 
| BMW27 | 43.82 | 
     
      6.38
     
   | 
  sec | 
     
       
      6.87
     
   | 
| BMW1M | 17.74 | 
     
      2.94
     
   | 
  sec | 
     
       
      6.02
     
   | 
| Island | 29.68 | 
     
      23.93
     
   | 
  sec | 
     
       
      1.24
     
   | 
| Convolution | 
                | 
               |||
| 20K/100 | 0.09 | 
     
      0.66
     
   | 
  iterations/sec | 
     
       
      7.35
     
   | 
| Data Science | 
                | 
               |||
| Pandas | 131.99 | 
     
      122.99
     
   | 
  sec | 
     
       
      1.07
     
   | 
| Scikit-learn | 449.17 | 
     
      62.77
     
   | 
  sec | 
     
       
      7.16
     
   | 
| XGBoost | 91.50 | 
     
      58.22
     
   | 
  sec | 
     
       
      1.57
     
   | 
| HandBrake | 
                | 
               |||
| SVT-AV1 8K to 4K | 195.16 | 
     
      96.16
     
   | 
  sec | 
     
       
      2.03
     
   | 
| x265 4K to 1080p | 38.36 | 
     
      18.86
     
   | 
  sec | 
     
       
      2.03
     
   | 
| x265 4K to 4K | 107.73 | 
     
      40.30
     
   | 
  sec | 
     
       
      2.67
     
   | 
| x264 1080p to 1080p | 49.98 | 
     
      7.28
     
   | 
  sec | 
     
       
      6.87
     
   | 
| Hidden Line Removal | 
                | 
               |||
| Palatov | 24.29 | 
     
      49.18
     
   | 
  fps | 
     
       
      2.02
     
   | 
| LAMMPS | 
                | 
               |||
| LJ | 705.82 | 
     
      5152.01
     
   | 
  tau/day | 
     
       
      7.30
     
   | 
| CHAIN | 1190.35 | 
     
      8063.39
     
   | 
  tau/day | 
     
       
      6.77
     
   | 
| EAM | 0.63 | 
     
      5.08
     
   | 
  ns/day | 
     
       
      8.06
     
   | 
| CHUTE | 38.25 | 
     
      203.46
     
   | 
  tau/day | 
     
       
      5.32
     
   | 
| RHODO | 0.26 | 
     
      1.51
     
   | 
  ns/day | 
     
       
      5.83
     
   | 
| LLVM Clang | 
                | 
               |||
| PyTorch | 562.76 | 
     
      115.67
     
   | 
  sec | 
     
       
      4.87
     
   | 
| LuxCoreRender | 
                | 
               |||
| DLSC | 2.46 | 
     
      17.75
     
   | 
  Msamples/sec | 
     
       
      7.22
     
   | 
| Food | 1.84 | 
     
      14.21
     
   | 
  Msamples/sec | 
     
       
      7.72
     
   | 
| Danish Mood | 2.29 | 
     
      9.83
     
   | 
  Msamples/sec | 
     
       
      4.29
     
   | 
| Procedural Leaves | 1.10 | 
     
      8.96
     
   | 
  Msamples/sec | 
     
       
      8.15
     
   | 
| MFEM | 
                | 
               |||
| Dynamic AMR | 227.39 | 
     
      51.45
     
   | 
  sec | 
     
       
      4.42
     
   | 
| NAMD | 
                | 
               |||
| apoa1 | 45.38 | 
     
      7.98
     
   | 
  ms/step | 
     
       
      5.69
     
   | 
| f1atpase | 130.50 | 
     
      22.42
     
   | 
  ms/step | 
     
       
      5.82
     
   | 
| stmv | 448.57 | 
     
      70.60
     
   | 
  ms/step | 
     
       
      6.35
     
   | 
| Octave | 
                | 
               |||
| obench | 1.20 | 
     
      0.99
     
   | 
  sec/operation | 
     
       
      1.21
     
   | 
| benchmark2 | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.16
     
   | 
| ONNX Inference | 
                | 
               |||
| CPU ResNet50-FP32-batch8 Latency | 63.72 | 
     
      21.49
     
   | 
  ms | 
     
       
      2.97
     
   | 
| CPU ResNet50-FP32-batch8 Throughput | 18.33 | 
     
      104.58
     
   | 
  inferences/sec | 
     
       
      5.71
     
   | 
| CPU ResNet50-INT8-batch8 Latency | 22.37 | 
     
      12.78
     
   | 
  ms | 
     
       
      1.75
     
   | 
| CPU ResNet50-INT8-batch8 Throughput | 46.62 | 
     
      325.35
     
   | 
  inferences/sec | 
     
       
      6.98
     
   | 
| CPU SuperResolution-FP32-batch8 Latency | 58.42 | 
     
      37.47
     
   | 
  ms | 
     
       
      1.56
     
   | 
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 | 
     
      168.85
     
   | 
  inferences/sec | 
     
       
      8.09
     
   | 
| CPU SuperResolution-INT8-batch8 Latency | 21.34 | 
     
      22.27
     
   | 
  ms | 
     
       
      0.96
     
   | 
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 | 
     
      249.74
     
   | 
  inferences/sec | 
     
       
      4.47
     
   | 
| OpenFOAM | 
                | 
               |||
| XiFoam Solver | 803.27 | 
     
      21.66
     
   | 
  sec | 
     
       
      37.10
     
   | 
| Options Pricing | 
                | 
               |||
| Monte Carlo | 35137.48 | 
     
      300880.14
     
   | 
  options/sec | 
     
       
      8.56
     
   | 
| Black-Scholes | 3389.63 | 
     
      27853.77
     
   | 
  Moptions/sec | 
     
       
      8.22
     
   | 
| Binomial | 79377.62 | 
     
      501514.29
     
   | 
  options/sec | 
     
       
      6.32
     
   | 
| Poisson | 
                | 
               |||
| Jacobi Rectangular Grid | 16.05 | 
     
      464.87
     
   | 
  iterations/sec | 
     
       
      29.00
     
   | 
| Jacobi Square Grid | 6.19 | 
     
      79.87
     
   | 
  iterations/sec | 
     
       
      12.90
     
   | 
| Python 3 | 
                | 
               |||
| NumPy Create Matrix | 0.36 | 
     
      0.69
     
   | 
  sec | 
     
       
      0.53
     
   | 
| NumPy Add Matrix | 4.44 | 
     
      4.71
     
   | 
  sec | 
     
       
      0.94
     
   | 
| NumPy Multiply Matrix | 8.06 | 
     
      6.62
     
   | 
  sec | 
     
       
      1.22
     
   | 
| NumPy Invert Matrix | 15.53 | 
     
      10.00
     
   | 
  sec | 
     
       
      1.55
     
   | 
| NumPy Sin Matrix | 2.67 | 
     
      2.79
     
   | 
  sec | 
     
       
      0.96
     
   | 
| Multi-Matrix | 65.50 | 
     
      30.93
     
   | 
  sec | 
     
       
      2.12
     
   | 
| Rodinia CFD | 
                | 
               |||
| Pre-Euler | 138.14 | 
     
      552.90
     
   | 
  iterations/sec | 
     
       
      4.00
     
   | 
| Rodinia Life Sciences | 
                | 
               |||
| Heart Wall | 0.69 | 
     
      5.08
     
   | 
  fps | 
     
       
      7.37
     
   | 
| HotSpot | 8.55 | 
     
      1.68
     
   | 
  sec | 
     
       
      5.10
     
   | 
| LavaMD | 0.07 | 
     
      0.63
     
   | 
  iterations/sec | 
     
       
      8.97
     
   | 
| SRAD | 47.04 | 
     
      479.24
     
   | 
  iterations/sec | 
     
       
      10.20
     
   | 
| SRMP | 
                | 
               |||
| 2D | 19.45 | 
     
      3.72
     
   | 
  sec | 
     
       
      5.23
     
   | 
            13.67
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| Viewport Graphics | 
                | 
               |||
| 3dsmax | 15.96 | 
     
      324.27
     
   | 
  fps | 
     
       
      20.30
     
   | 
| catia | 17.57 | 
     
      158.87
     
   | 
  fps | 
     
       
      9.04
     
   | 
| creo | 48.42 | 
     
      224.42
     
   | 
  fps | 
     
       
      4.63
     
   | 
| energy | 11.48 | 
     
      322.52
     
   | 
  fps | 
     
       
      28.10
     
   | 
| maya | 62.09 | 
     
      655.39
     
   | 
  fps | 
     
       
      10.60
     
   | 
| medical | 9.63 | 
     
      225.15
     
   | 
  fps | 
     
       
      23.40
     
   | 
| solidworks | 42.90 | 
     
      646.74
     
   | 
  fps | 
     
       
      15.10
     
   | 
            1.67
        
        | Workload | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|
| WPCstorage | 
                | 
               |||
| 3dsmax | 3299.42 | 
     
      4939.38
     
   | 
  points | 
     
       
      1.50
     
   | 
| 7zip | 431.06 | 
     
      1791.79
     
   | 
  points | 
     
       
      4.16
     
   | 
| ccx | 1398.45 | 
     
      2600.89
     
   | 
  points | 
     
       
      1.86
     
   | 
| cfd | 1921.51 | 
     
      2854.87
     
   | 
  points | 
     
       
      1.49
     
   | 
| energy | 1547.93 | 
     
      1981.45
     
   | 
  points | 
     
       
      1.28
     
   | 
| handbrake | 1897.99 | 
     
      3082.39
     
   | 
  points | 
     
       
      1.62
     
   | 
| icePack | 1543.34 | 
     
      1869.40
     
   | 
  points | 
     
       
      1.21
     
   | 
| maya | 2037.06 | 
     
      4872.33
     
   | 
  points | 
     
       
      2.39
     
   | 
| MayaVenice | 472.63 | 
     
      906.71
     
   | 
  points | 
     
       
      1.92
     
   | 
| MandE | 1625.72 | 
     
      1845.93
     
   | 
  points | 
     
       
      1.14
     
   | 
| mcad | 2612.50 | 
     
      5542.11
     
   | 
  points | 
     
       
      2.12
     
   | 
| mozillaVS | 7708.43 | 
     
      13988.20
     
   | 
  points | 
     
       
      1.81
     
   | 
| namd | 1250.61 | 
     
      1762.75
     
   | 
  points | 
     
       
      1.41
     
   | 
| proddev | 659.82 | 
     
      735.07
     
   | 
  points | 
     
       
      1.11
     
   | 
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio | 
|---|---|---|---|---|---|---|
| 7-Zip | Nov 20, 2024, 10:31:29 AM EST | 
                         
                             3.88
                         
                     | 
                ||||
| Decompression | 16.60 sec | 16.04 | 
     
      16.60
     
   | 
  sec | 
     
       
      0.97
     
   | 
|
| Compression | 36.19 sec | 254.57 | 
     
      36.19
     
   | 
  sec | 
     
       
      7.04
     
   | 
|
| Autodesk Inventor | Nov 20, 2024, 10:32:26 AM EST | 
                         
                             0.93
                         
                     | 
                ||||
| Open Document | 4.96 sec | 4253.73 | 
     
      4740.00
     
   | 
  ms | 
     
       
      0.90
     
   | 
|
| Create/Update Files | 7.18 sec | 4973.68 | 
     
      5339.00
     
   | 
  ms | 
     
       
      0.93
     
   | 
|
| Rebuild | 10.66 sec | 10590.28 | 
     
      10443.00
     
   | 
  ms | 
     
       
      1.01
     
   | 
|
| Render Style/Material | 0.92 sec | 628.78 | 
     
      713.00
     
   | 
  ms | 
     
       
      0.88
     
   | 
|
| Blender | Nov 20, 2024, 10:33:17 AM EST | 
                         
                             5.74
                         
                     | 
                ||||
| Classroom | 13.38 sec | 281.72 | 
     
      13.38
     
   | 
  sec | 
     
       
      21.10
     
   | 
|
| BMW27 | 6.38 sec | 43.82 | 
     
      6.38
     
   | 
  sec | 
     
       
      6.87
     
   | 
|
| BMW1M | 2.94 sec | 17.74 | 
     
      2.94
     
   | 
  sec | 
     
       
      6.02
     
   | 
|
| Island | 23.93 sec | 29.68 | 
     
      23.93
     
   | 
  sec | 
     
       
      1.24
     
   | 
|
| Convolution | Nov 20, 2024, 10:34:08 AM EST | 
                         
                             7.35
                         
                     | 
                ||||
| 20K/100 | 32.03 sec | 0.09 | 
     
      0.66
     
   | 
  iterations/sec | 
     
       
      7.35
     
   | 
|
| Data Science | Nov 20, 2024, 10:34:40 AM EST | 
                         
                             2.29
                         
                     | 
                ||||
| Pandas | 135.57 sec | 131.99 | 
     
      122.99
     
   | 
  sec | 
     
       
      1.07
     
   | 
|
| Scikit-learn | 67.14 sec | 449.17 | 
     
      62.77
     
   | 
  sec | 
     
       
      7.16
     
   | 
|
| XGBoost | 79.29 sec | 91.50 | 
     
      58.22
     
   | 
  sec | 
     
       
      1.57
     
   | 
|
| HandBrake | Nov 20, 2024, 10:39:36 AM EST | 
                         
                             2.48
                         
                     | 
                ||||
| SVT-AV1 8K to 4K | 96.16 sec | 195.16 | 
     
      96.16
     
   | 
  sec | 
     
       
      2.03
     
   | 
|
| x265 4K to 1080p | 20.24 sec | 38.36 | 
     
      18.86
     
   | 
  sec | 
     
       
      2.03
     
   | 
|
| x265 4K to 4K | 41.59 sec | 107.73 | 
     
      40.30
     
   | 
  sec | 
     
       
      2.67
     
   | 
|
| x264 1080p to 1080p | 7.28 sec | 49.98 | 
     
      7.28
     
   | 
  sec | 
     
       
      6.87
     
   | 
|
| GPU H.265 4K to 4K | 46.04 sec | 169.65 | 
     
      136.45
     
   | 
  fps | 
     
       
      0.80
     
   | 
|
| GPU H.265 4K to 1080p | 190.16 sec | 128.84 | 
     
      495.87
     
   | 
  fps | 
     
       
      3.85
     
   | 
|
| Hidden Line Removal | Nov 20, 2024, 10:46:24 AM EST | 
                         
                             2.02
                         
                     | 
                ||||
| Palatov | 17.40 sec | 24.29 | 
     
      46.45
     
   | 
  fps | 
     
       
      1.91
     
   | 
|
| Palatov | 17.50 sec | 24.29 | 
     
      49.18
     
   | 
  fps | 
     
       
      2.02
     
   | 
|
| LAMMPS | Nov 20, 2024, 10:47:00 AM EST | 
                         
                             6.58
                         
                     | 
                ||||
| LJ | 3.58 sec | 705.82 | 
     
      5152.01
     
   | 
  tau/day | 
     
       
      7.30
     
   | 
|
| CHAIN | 5.16 sec | 1190.35 | 
     
      8063.39
     
   | 
  tau/day | 
     
       
      6.77
     
   | 
|
| EAM | 3.38 sec | 0.63 | 
     
      5.08
     
   | 
  ns/day | 
     
       
      8.06
     
   | 
|
| CHUTE | 2.96 sec | 38.25 | 
     
      203.46
     
   | 
  tau/day | 
     
       
      5.32
     
   | 
|
| RHODO | 3.60 sec | 0.26 | 
     
      1.51
     
   | 
  ns/day | 
     
       
      5.83
     
   | 
|
| LLVM Clang | Nov 20, 2024, 10:47:19 AM EST | 
                         
                             4.87
                         
                     | 
                ||||
| PyTorch | 137.54 sec | 562.76 | 
     
      115.67
     
   | 
  sec | 
     
       
      4.87
     
   | 
|
| LuxCoreRender | Nov 20, 2024, 10:50:40 AM EST | 
                         
                             6.64
                         
                     | 
                ||||
| DLSC | 5.06 sec | 2.46 | 
     
      17.75
     
   | 
  Msamples/sec | 
     
       
      7.22
     
   | 
|
| Food | 9.22 sec | 1.84 | 
     
      14.21
     
   | 
  Msamples/sec | 
     
       
      7.72
     
   | 
|
| Danish Mood | 17.29 sec | 2.29 | 
     
      9.83
     
   | 
  Msamples/sec | 
     
       
      4.29
     
   | 
|
| Procedural Leaves | 7.25 sec | 1.10 | 
     
      8.96
     
   | 
  Msamples/sec | 
     
       
      8.15
     
   | 
|
| MFEM | Nov 20, 2024, 10:51:19 AM EST | 
                         
                             4.42
                         
                     | 
                ||||
| Dynamic AMR | 51.45 sec | 227.39 | 
     
      51.45
     
   | 
  sec | 
     
       
      4.42
     
   | 
|
| NAMD | Nov 20, 2024, 10:52:11 AM EST | 
                         
                             5.95
                         
                     | 
                ||||
| apoa1 | 12.34 sec | 45.38 | 
     
      7.98
     
   | 
  ms/step | 
     
       
      5.69
     
   | 
|
| f1atpase | 18.70 sec | 130.50 | 
     
      22.42
     
   | 
  ms/step | 
     
       
      5.82
     
   | 
|
| stmv | 31.29 sec | 448.57 | 
     
      70.60
     
   | 
  ms/step | 
     
       
      6.35
     
   | 
|
| Octave | Nov 20, 2024, 10:53:13 AM EST | 
                         
                             1.18
                         
                     | 
                ||||
| obench | 48.80 sec | 1.20 | 
     
      0.99
     
   | 
  sec/operation | 
     
       
      1.21
     
   | 
|
| benchmark2 | 11.46 sec | 0.11 | 
     
      0.10
     
   | 
  sec/operation | 
     
       
      1.16
     
   | 
|
| ONNX Inference | Nov 20, 2024, 10:54:24 AM EST | 
                         
                             6.36
                         
                     | 
                ||||
| CPU ResNet50-FP32-batch8 Latency | 20.30 sec | 63.72 | 
     
      21.49
     
   | 
  ms | 
     
       
      2.97
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.02 sec | 18.33 | 
     
      104.58
     
   | 
  inferences/sec | 
     
       
      5.71
     
   | 
|
| CPU ResNet50-FP32-batch8 Throughput | 22.64 sec | 18.33 | 
     
      99.14
     
   | 
  inferences/sec | 
     
       
      5.41
     
   | 
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 | 
     
      12.78
     
   | 
  ms | 
     
       
      1.75
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.92 sec | 46.62 | 
     
      231.21
     
   | 
  inferences/sec | 
     
       
      4.96
     
   | 
|
| CPU ResNet50-INT8-batch8 Throughput | 20.86 sec | 46.62 | 
     
      325.35
     
   | 
  inferences/sec | 
     
       
      6.98
     
   | 
|
| CPU SuperResolution-FP32-batch8 Latency | 20.16 sec | 58.42 | 
     
      37.47
     
   | 
  ms | 
     
       
      1.56
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.58 sec | 20.87 | 
     
      168.85
     
   | 
  inferences/sec | 
     
       
      8.09
     
   | 
|
| CPU SuperResolution-FP32-batch8 Throughput | 22.23 sec | 20.87 | 
     
      122.42
     
   | 
  inferences/sec | 
     
       
      5.87
     
   | 
|
| CPU SuperResolution-INT8-batch8 Latency | 20.14 sec | 21.34 | 
     
      22.27
     
   | 
  ms | 
     
       
      0.96
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.98 sec | 55.92 | 
     
      249.74
     
   | 
  inferences/sec | 
     
       
      4.47
     
   | 
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.10 sec | 55.92 | 
     
      237.71
     
   | 
  inferences/sec | 
     
       
      4.25
     
   | 
|
| GPU ResNet50-FP32-batch32 Throughput | 20.95 sec | 3.92 | 
     
      83.99
     
   | 
  inferences/sec | 
     
       
      21.40
     
   | 
|
| GPU ResNet50-INT8-batch32 Throughput | 20.74 sec | 1.92 | 
     
      134.51
     
   | 
  inferences/sec | 
     
       
      70.10
     
   | 
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.92 sec | 6.59 | 
     
      53.27
     
   | 
  inferences/sec | 
     
       
      8.08
     
   | 
|
| GPU SuperResolution-INT8-batch32 Throughput | 22.08 sec | 1.92 | 
     
      61.70
     
   | 
  inferences/sec | 
     
       
      32.10
     
   | 
|
| OpenFOAM | Nov 20, 2024, 11:00:04 AM EST | 
                         
                             37.10
                         
                     | 
                ||||
| XiFoam Solver | 43.36 sec | 803.27 | 
     
      28.94
     
   | 
  sec | 
     
       
      27.80
     
   | 
|
| XiFoam Solver | 32.57 sec | 803.27 | 
     
      21.66
     
   | 
  sec | 
     
       
      37.10
     
   | 
|
| Options Pricing | Nov 20, 2024, 11:01:24 AM EST | 
                         
                             7.63
                         
                     | 
                ||||
| Monte Carlo | 3.57 sec | 35137.48 | 
     
      300880.14
     
   | 
  options/sec | 
     
       
      8.56
     
   | 
|
| Black-Scholes | 3.78 sec | 3389.63 | 
     
      27853.77
     
   | 
  Moptions/sec | 
     
       
      8.22
     
   | 
|
| Binomial | 2.16 sec | 79377.62 | 
     
      501514.29
     
   | 
  options/sec | 
     
       
      6.32
     
   | 
|
| Poisson | Nov 20, 2024, 11:01:33 AM EST | 
                         
                             19.30
                         
                     | 
                ||||
| Jacobi Rectangular Grid | 10.08 sec | 16.05 | 
     
      464.87
     
   | 
  iterations/sec | 
     
       
      29.00
     
   | 
|
| Jacobi Rectangular Grid | 10.05 sec | 16.05 | 
     
      343.34
     
   | 
  iterations/sec | 
     
       
      21.40
     
   | 
|
| Jacobi Square Grid | 10.09 sec | 6.19 | 
     
      79.87
     
   | 
  iterations/sec | 
     
       
      12.90
     
   | 
|
| Jacobi Square Grid | 10.07 sec | 6.19 | 
     
      41.81
     
   | 
  iterations/sec | 
     
       
      6.75
     
   | 
|
| Python 3 | Nov 20, 2024, 11:02:14 AM EST | 
                         
                             1.44
                         
                     | 
                ||||
| NumPy Create Matrix | 3.68 sec | 0.36 | 
     
      0.69
     
   | 
  sec | 
     
       
      0.53
     
   | 
|
| NumPy Add Matrix | 5.42 sec | 4.44 | 
     
      4.71
     
   | 
  sec | 
     
       
      0.94
     
   | 
|
| NumPy Multiply Matrix | 7.35 sec | 8.06 | 
     
      6.62
     
   | 
  sec | 
     
       
      1.22
     
   | 
|
| NumPy Invert Matrix | 10.73 sec | 15.53 | 
     
      10.00
     
   | 
  sec | 
     
       
      1.55
     
   | 
|
| NumPy Sin Matrix | 3.49 sec | 2.67 | 
     
      2.79
     
   | 
  sec | 
     
       
      0.96
     
   | 
|
| Multi-Matrix | 31.61 sec | 65.50 | 
     
      30.93
     
   | 
  sec | 
     
       
      2.12
     
   | 
|
| Rodinia CFD | Nov 20, 2024, 11:03:25 AM EST | 
                         
                             4.00
                         
                     | 
                ||||
| Pre-Euler | 33.03 sec | 138.14 | 
     
      552.90
     
   | 
  iterations/sec | 
     
       
      4.00
     
   | 
|
| Rodinia Life Sciences | Nov 20, 2024, 11:03:58 AM EST | 
                         
                             7.66
                         
                     | 
                ||||
| Heart Wall | 10.27 sec | 0.69 | 
     
      5.08
     
   | 
  fps | 
     
       
      7.37
     
   | 
|
| HotSpot | 2.77 sec | 8.55 | 
     
      1.68
     
   | 
  sec | 
     
       
      5.10
     
   | 
|
| LavaMD | 11.50 sec | 0.07 | 
     
      0.63
     
   | 
  iterations/sec | 
     
       
      8.97
     
   | 
|
| SRAD | 10.24 sec | 47.04 | 
     
      479.24
     
   | 
  iterations/sec | 
     
       
      10.20
     
   | 
|
| SRMP | Nov 20, 2024, 11:04:34 AM EST | 
                         
                             5.23
                         
                     | 
                ||||
| 2D | 3.97 sec | 19.45 | 
     
      3.72
     
   | 
  sec | 
     
       
      5.23
     
   | 
|
| Viewport Graphics | Nov 20, 2024, 11:04:38 AM EST | 
                         
                             13.70
                         
                     | 
                ||||
| 3dsmax | 130.66 sec | 15.96 | 
     
      324.27
     
   | 
  fps | 
     
       
      20.30
     
   | 
|
| catia | 131.88 sec | 17.57 | 
     
      158.87
     
   | 
  fps | 
     
       
      9.04
     
   | 
|
| creo | 172.35 sec | 48.42 | 
     
      224.42
     
   | 
  fps | 
     
       
      4.63
     
   | 
|
| energy | 94.86 sec | 11.48 | 
     
      322.52
     
   | 
  fps | 
     
       
      28.10
     
   | 
|
| maya | 94.63 sec | 62.09 | 
     
      655.39
     
   | 
  fps | 
     
       
      10.60
     
   | 
|
| medical | 71.92 sec | 9.63 | 
     
      225.15
     
   | 
  fps | 
     
       
      23.40
     
   | 
|
| solidworks | 70.62 sec | 42.90 | 
     
      646.74
     
   | 
  fps | 
     
       
      15.10
     
   | 
|
| WPCstorage | Nov 20, 2024, 11:18:19 AM EST | 
                         
                             1.67
                         
                     | 
                ||||
| 3dsmax | 61.78 sec | 3299.42 | 
     
      2416.63
     
   | 
  points | 
     
       
      0.73
     
   | 
|
| 3dsmax | 44.31 sec | 3299.42 | 
     
      4939.38
     
   | 
  points | 
     
       
      1.50
     
   | 
|
| 7zip | 40.20 sec | 431.06 | 
     
      526.12
     
   | 
  points | 
     
       
      1.22
     
   | 
|
| 7zip | 41.22 sec | 431.06 | 
     
      1791.79
     
   | 
  points | 
     
       
      4.16
     
   | 
|
| ccx | 11.69 sec | 1398.45 | 
     
      1362.73
     
   | 
  points | 
     
       
      0.97
     
   | 
|
| ccx | 11.57 sec | 1398.45 | 
     
      2600.89
     
   | 
  points | 
     
       
      1.86
     
   | 
|
| cfd | 12.17 sec | 1921.51 | 
     
      1794.72
     
   | 
  points | 
     
       
      0.93
     
   | 
|
| cfd | 12.05 sec | 1921.51 | 
     
      2854.87
     
   | 
  points | 
     
       
      1.49
     
   | 
|
| energy | 18.45 sec | 1547.93 | 
     
      1981.45
     
   | 
  points | 
     
       
      1.28
     
   | 
|
| energy | 19.11 sec | 1547.93 | 
     
      1934.72
     
   | 
  points | 
     
       
      1.25
     
   | 
|
| handbrake | 14.37 sec | 1897.99 | 
     
      2467.68
     
   | 
  points | 
     
       
      1.30
     
   | 
|
| handbrake | 14.45 sec | 1897.99 | 
     
      3082.39
     
   | 
  points | 
     
       
      1.62
     
   | 
|
| icePack | 58.52 sec | 1543.34 | 
     
      1278.40
     
   | 
  points | 
     
       
      0.83
     
   | 
|
| icePack | 49.32 sec | 1543.34 | 
     
      1869.40
     
   | 
  points | 
     
       
      1.21
     
   | 
|
| maya | 74.28 sec | 2037.06 | 
     
      1210.17
     
   | 
  points | 
     
       
      0.59
     
   | 
|
| maya | 35.23 sec | 2037.06 | 
     
      4872.33
     
   | 
  points | 
     
       
      2.39
     
   | 
|
| MayaVenice | 30.88 sec | 472.63 | 
     
      494.38
     
   | 
  points | 
     
       
      1.05
     
   | 
|
| MayaVenice | 23.21 sec | 472.63 | 
     
      906.71
     
   | 
  points | 
     
       
      1.92
     
   | 
|
| MandE | 17.59 sec | 1625.72 | 
     
      1845.93
     
   | 
  points | 
     
       
      1.14
     
   | 
|
| MandE | 18.54 sec | 1625.72 | 
     
      1800.51
     
   | 
  points | 
     
       
      1.11
     
   | 
|
| mcad | 55.34 sec | 2612.50 | 
     
      3172.79
     
   | 
  points | 
     
       
      1.21
     
   | 
|
| mcad | 45.17 sec | 2612.50 | 
     
      5542.11
     
   | 
  points | 
     
       
      2.12
     
   | 
|
| mozillaVS | 25.97 sec | 7708.43 | 
     
      7639.94
     
   | 
  points | 
     
       
      0.99
     
   | 
|
| mozillaVS | 24.90 sec | 7708.43 | 
     
      13988.20
     
   | 
  points | 
     
       
      1.81
     
   | 
|
| namd | 16.64 sec | 1250.61 | 
     
      1094.53
     
   | 
  points | 
     
       
      0.88
     
   | 
|
| namd | 15.48 sec | 1250.61 | 
     
      1762.75
     
   | 
  points | 
     
       
      1.41
     
   | 
|
| proddev | 20.67 sec | 659.82 | 
     
      321.81
     
   | 
  points | 
     
       
      0.49
     
   | 
|
| proddev | 17.79 sec | 659.82 | 
     
      735.07
     
   | 
  points | 
     
       
      1.11
     
   | 
      System Configuration Details
    
    
      
      MOTHERBOARD
    
    Name: 105EModel: Lenovo ThinkStation P8
Version: 30HH0048US
Manufacturer: LENOVO
Serial Number: LENOVO_MT_30HH_BU_Think_FM_ThinkStation P8
BIOS: LENOVO S0GKT24A
BIOS Version: LENOVO - 1240 (2024-10-31)
      
      PROCESSOR
    
    CPU #1: AMD Ryzen Threadripper PRO 7995WX 96-Cores      (2501MHz / 96C / 192T)
      
      MEMORY
    
    P0 CHANNEL D (DIMM 1): Micron Technology MTC40F2046S1RC48BA1            (64.00 GB / 4800 MHz / DDR5)P0 CHANNEL C (DIMM 2): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL B (DIMM 3): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL A (DIMM 4): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL E (DIMM 5): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL F (DIMM 6): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL G (DIMM 7): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL H (DIMM 8): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
Total Memory: 512.00 GB
      
      STORAGE
    
    Disk #1: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #2: WD PC SN810 SDCQNRY-1T00-1201 (953.86 GB - SCSI)
Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (951.65 GB)
Partition 3: GPT: Unknown (1.95 GB)
Disk #3: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #4: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #5: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Available Volumes
C: (Windows): NTFS (856.67 GB of 951.65 GB Available)
D: (Data): NTFS (7630.51 GB of 7630.85 GB Available)
      
      NETWORK
    
    Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 38:7C:76:49:0F:2A | Speed: 1000.00 Mbit
Adapter #2: Marvell AQtion 10Gbit Network Adapter
Type: Ethernet 802.3 | MAC: 38:7C:76:49:0F:2B | Speed: Not Connected
      
      GRAPHICS
    
    Adapter #1: NVIDIA RTX 6000 Ada GenerationVideo Memory: 47.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5324 (2024-10-07)
        
        DISPLAY
      
      Display #1: LENOVO GROUP LIMITED LEN P27u-10 27.2" (3840x2160)Model: 61B0 | S/N: 1194350384 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 2560x1440 @ 32 bpp
      
      OPERATING SYSTEM
    
    
          Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.2314 (Release 2009)
Installation Date: 2024-10-23
Free Memory: 494.71 GB (Physical) | 508.71 GB (Virtual) | 16.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Best Performance
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)