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 | 21TR |
| CPU | Intel(R) Core(TM) Ultra 7 258V |
| Memory | 32.00 GB @ 8533 MHz |
| GPU | 1x Lenovo Virtual Display Driver 1x Intel(R) Arc(TM) 140V GPU (16GB) |
| Display | Internal Display 1.4" (2000x2664) |
| Storage | SAMSUNG MZAL81T0HDLB-00BL2 953.86 GB - SCSI |
| OS | Microsoft Windows 11 Pro (26200) |
Submission Details
| Result Date | Wed Nov 19 2025 14:28:08 GMT+0800 (GMT+08:00) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
0.85 |
Energy |
0.76 |
Financial Services |
0.49 |
Life Sciences |
0.82 |
Media & Entertainment |
0.88 |
Product Design |
0.99 |
Productivity & Development |
0.69 |
Hardware Subsystem Scores
| CPU | 0.76 |
| Accelerator | 1.40 |
| Graphics | 1.09 |
| Storage | 0.87 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 0.62 |
| Autodesk Inventor | 0.92 |
| Blender | 0.71 |
| Convolution | 0.51 |
| Data Science | 1.01 |
| HandBrake | 0.87 |
| Hidden Line Removal | 0.51 |
| LAMMPS | 0.77 |
| LLVM Clang | 0.48 |
| LuxCoreRender | 0.50 |
| MFEM | 0.83 |
| NAMD | 0.64 |
| Octave | 1.05 |
| ONNX Inference | 0.71 |
| OpenFOAM | 4.66 |
| Options Pricing | 0.49 |
| Poisson | 1.57 |
| Python 3 | 0.73 |
| Rodinia CFD | 0.75 |
| Rodinia Life Sciences | 0.60 |
| SRMP | 0.58 |
| Viewport Graphics | 1.09 |
| WPCstorage | 0.87 |
Industry Vertical Scores
| AI & Machine Learning | 0.85 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
123.28
|
sec |
1.07
|
| Scikit-learn | 449.17 |
511.75
|
sec |
0.88
|
| XGBoost | 91.50 |
84.20
|
sec |
1.09
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
175.53
|
ms |
0.36
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
8.13
|
inferences/sec |
0.44
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
57.95
|
ms |
0.39
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
23.30
|
inferences/sec |
0.50
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
150.91
|
ms |
0.39
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
9.22
|
inferences/sec |
0.44
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
50.10
|
ms |
0.43
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
28.18
|
inferences/sec |
0.50
|
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
8.69
|
inferences/sec |
2.22
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
5.01
|
inferences/sec |
2.61
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
10.66
|
inferences/sec |
1.62
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
3.15
|
inferences/sec |
1.64
|
Industry Vertical Scores
| Energy | 0.76 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.05
|
iterations/sec |
0.51
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
25.57
|
iterations/sec |
1.59
|
| Jacobi Square Grid | 6.19 |
9.61
|
iterations/sec |
1.55
|
| SRMP |
|
|||
| 2D | 19.45 |
33.70
|
sec |
0.58
|
| Viewport Graphics |
|
|||
| energy | 11.48 |
9.27
|
fps |
0.81
|
| WPCstorage |
|
|||
| energy | 1547.93 |
1086.72
|
points |
0.70
|
Industry Vertical Scores
| Financial Services | 0.49 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
17334.72
|
options/sec |
0.49
|
| Black-Scholes | 3389.63 |
1634.19
|
Moptions/sec |
0.48
|
| Binomial | 79377.62 |
38855.70
|
options/sec |
0.49
|
Industry Vertical Scores
| Life Sciences | 0.82 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
467.56
|
tau/day |
0.66
|
| CHAIN | 1190.35 |
1043.61
|
tau/day |
0.88
|
| EAM | 0.63 |
0.40
|
ns/day |
0.63
|
| CHUTE | 38.25 |
48.93
|
tau/day |
1.28
|
| RHODO | 0.26 |
0.15
|
ns/day |
0.58
|
| NAMD |
|
|||
| apoa1 | 45.38 |
68.67
|
ms/step |
0.66
|
| f1atpase | 130.50 |
214.63
|
ms/step |
0.61
|
| stmv | 448.57 |
700.69
|
ms/step |
0.64
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
0.45
|
fps |
0.66
|
| HotSpot | 8.55 |
13.13
|
sec |
0.65
|
| LavaMD | 0.07 |
0.05
|
iterations/sec |
0.66
|
| SRAD | 47.04 |
22.21
|
iterations/sec |
0.47
|
| Viewport Graphics |
|
|||
| medical | 9.63 |
12.58
|
fps |
1.31
|
| WPCstorage |
|
|||
| namd | 1250.61 |
1166.31
|
points |
0.93
|
Industry Vertical Scores
| Media & Entertainment | 0.88 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
176.46
|
sec |
1.60
|
| BMW27 | 43.82 |
84.98
|
sec |
0.52
|
| BMW1M | 17.74 |
32.00
|
sec |
0.55
|
| Island | 29.68 |
52.96
|
sec |
0.56
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
290.14
|
sec |
0.67
|
| x265 4K to 1080p | 38.36 |
62.45
|
sec |
0.61
|
| x265 4K to 4K | 107.73 |
180.32
|
sec |
0.60
|
| x264 1080p to 1080p | 49.98 |
28.37
|
sec |
1.76
|
| GPU H.265 4K to 4K | 169.65 |
114.74
|
fps |
0.68
|
| GPU H.265 4K to 1080p | 128.84 |
184.99
|
fps |
1.44
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
1.42
|
Msamples/sec |
0.58
|
| Food | 1.84 |
0.94
|
Msamples/sec |
0.51
|
| Danish Mood | 2.29 |
0.89
|
Msamples/sec |
0.39
|
| Procedural Leaves | 1.10 |
0.60
|
Msamples/sec |
0.55
|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
22.13
|
fps |
1.39
|
| maya | 62.09 |
94.31
|
fps |
1.52
|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
3291.06
|
points |
1.00
|
| handbrake | 1897.99 |
2235.24
|
points |
1.18
|
| maya | 2037.06 |
2598.62
|
points |
1.28
|
| MayaVenice | 472.63 |
727.69
|
points |
1.54
|
| MandE | 1625.72 |
1617.66
|
points |
0.99
|
Industry Vertical Scores
| Product Design | 0.99 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
4482.00
|
ms |
0.95
|
| Create/Update Files | 4973.68 |
5494.00
|
ms |
0.91
|
| Rebuild | 10590.28 |
9950.00
|
ms |
1.06
|
| Render Style/Material | 628.78 |
798.00
|
ms |
0.79
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
12.36
|
fps |
0.51
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
274.09
|
sec |
0.83
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
172.22
|
sec |
4.66
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
103.40
|
iterations/sec |
0.75
|
| Viewport Graphics |
|
|||
| catia | 17.57 |
16.09
|
fps |
0.92
|
| creo | 48.42 |
36.76
|
fps |
0.76
|
| solidworks | 42.90 |
50.58
|
fps |
1.18
|
| WPCstorage |
|
|||
| ccx | 1398.45 |
1716.38
|
points |
1.23
|
| cfd | 1921.51 |
470.01
|
points |
0.24
|
| icePack | 1543.34 |
1643.73
|
points |
1.07
|
| mcad | 2612.50 |
2360.46
|
points |
0.90
|
| proddev | 659.82 |
482.02
|
points |
0.73
|
Industry Vertical Scores
| Productivity & Development | 0.69 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
29.46
|
sec |
0.54
|
| Compression | 254.57 |
390.66
|
sec |
0.65
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
1162.99
|
sec |
0.48
|
| Octave |
|
|||
| obench | 1.20 |
1.14
|
sec/operation |
1.06
|
| benchmark2 | 0.11 |
0.10
|
sec/operation |
1.05
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.53
|
sec |
0.68
|
| NumPy Add Matrix | 4.44 |
4.46
|
sec |
1.00
|
| NumPy Multiply Matrix | 8.06 |
10.31
|
sec |
0.78
|
| NumPy Invert Matrix | 15.53 |
19.09
|
sec |
0.81
|
| NumPy Sin Matrix | 2.67 |
2.52
|
sec |
1.06
|
| Multi-Matrix | 65.50 |
104.46
|
sec |
0.63
|
| WPCstorage |
|
|||
| 7zip | 431.06 |
354.89
|
points |
0.82
|
| mozillaVS | 7708.43 |
3983.74
|
points |
0.52
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
1.40
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| HandBrake |
|
|||
| GPU H.265 4K to 4K | 169.65 |
114.74
|
fps |
0.68
|
| GPU H.265 4K to 1080p | 128.84 |
184.99
|
fps |
1.44
|
| ONNX Inference |
|
|||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
8.69
|
inferences/sec |
2.22
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
5.01
|
inferences/sec |
2.61
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
10.66
|
inferences/sec |
1.62
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
3.15
|
inferences/sec |
1.64
|
0.76
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
29.46
|
sec |
0.54
|
| Compression | 254.57 |
390.66
|
sec |
0.65
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
4482.00
|
ms |
0.95
|
| Create/Update Files | 4973.68 |
5494.00
|
ms |
0.91
|
| Rebuild | 10590.28 |
9950.00
|
ms |
1.06
|
| Render Style/Material | 628.78 |
798.00
|
ms |
0.79
|
| Blender |
|
|||
| Classroom | 281.72 |
176.46
|
sec |
1.60
|
| BMW27 | 43.82 |
84.98
|
sec |
0.52
|
| BMW1M | 17.74 |
32.00
|
sec |
0.55
|
| Island | 29.68 |
52.96
|
sec |
0.56
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.05
|
iterations/sec |
0.51
|
| Data Science |
|
|||
| Pandas | 131.99 |
123.28
|
sec |
1.07
|
| Scikit-learn | 449.17 |
511.75
|
sec |
0.88
|
| XGBoost | 91.50 |
84.20
|
sec |
1.09
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
290.14
|
sec |
0.67
|
| x265 4K to 1080p | 38.36 |
62.45
|
sec |
0.61
|
| x265 4K to 4K | 107.73 |
180.32
|
sec |
0.60
|
| x264 1080p to 1080p | 49.98 |
28.37
|
sec |
1.76
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
12.36
|
fps |
0.51
|
| LAMMPS |
|
|||
| LJ | 705.82 |
467.56
|
tau/day |
0.66
|
| CHAIN | 1190.35 |
1043.61
|
tau/day |
0.88
|
| EAM | 0.63 |
0.40
|
ns/day |
0.63
|
| CHUTE | 38.25 |
48.93
|
tau/day |
1.28
|
| RHODO | 0.26 |
0.15
|
ns/day |
0.58
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
1162.99
|
sec |
0.48
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
1.42
|
Msamples/sec |
0.58
|
| Food | 1.84 |
0.94
|
Msamples/sec |
0.51
|
| Danish Mood | 2.29 |
0.89
|
Msamples/sec |
0.39
|
| Procedural Leaves | 1.10 |
0.60
|
Msamples/sec |
0.55
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
274.09
|
sec |
0.83
|
| NAMD |
|
|||
| apoa1 | 45.38 |
68.67
|
ms/step |
0.66
|
| f1atpase | 130.50 |
214.63
|
ms/step |
0.61
|
| stmv | 448.57 |
700.69
|
ms/step |
0.64
|
| Octave |
|
|||
| obench | 1.20 |
1.14
|
sec/operation |
1.06
|
| benchmark2 | 0.11 |
0.10
|
sec/operation |
1.05
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
175.53
|
ms |
0.36
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
8.13
|
inferences/sec |
0.44
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
57.95
|
ms |
0.39
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
23.30
|
inferences/sec |
0.50
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
150.91
|
ms |
0.39
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
9.22
|
inferences/sec |
0.44
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
50.10
|
ms |
0.43
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
28.18
|
inferences/sec |
0.50
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
172.22
|
sec |
4.66
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
17334.72
|
options/sec |
0.49
|
| Black-Scholes | 3389.63 |
1634.19
|
Moptions/sec |
0.48
|
| Binomial | 79377.62 |
38855.70
|
options/sec |
0.49
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
25.57
|
iterations/sec |
1.59
|
| Jacobi Square Grid | 6.19 |
9.61
|
iterations/sec |
1.55
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.53
|
sec |
0.68
|
| NumPy Add Matrix | 4.44 |
4.46
|
sec |
1.00
|
| NumPy Multiply Matrix | 8.06 |
10.31
|
sec |
0.78
|
| NumPy Invert Matrix | 15.53 |
19.09
|
sec |
0.81
|
| NumPy Sin Matrix | 2.67 |
2.52
|
sec |
1.06
|
| Multi-Matrix | 65.50 |
104.46
|
sec |
0.63
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
103.40
|
iterations/sec |
0.75
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
0.45
|
fps |
0.66
|
| HotSpot | 8.55 |
13.13
|
sec |
0.65
|
| LavaMD | 0.07 |
0.05
|
iterations/sec |
0.66
|
| SRAD | 47.04 |
22.21
|
iterations/sec |
0.47
|
| SRMP |
|
|||
| 2D | 19.45 |
33.70
|
sec |
0.58
|
1.09
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
22.13
|
fps |
1.39
|
| catia | 17.57 |
16.09
|
fps |
0.92
|
| creo | 48.42 |
36.76
|
fps |
0.76
|
| energy | 11.48 |
9.27
|
fps |
0.81
|
| maya | 62.09 |
94.31
|
fps |
1.52
|
| medical | 9.63 |
12.58
|
fps |
1.31
|
| solidworks | 42.90 |
50.58
|
fps |
1.18
|
0.87
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
3291.06
|
points |
1.00
|
| 7zip | 431.06 |
354.89
|
points |
0.82
|
| ccx | 1398.45 |
1716.38
|
points |
1.23
|
| cfd | 1921.51 |
470.01
|
points |
0.24
|
| energy | 1547.93 |
1086.72
|
points |
0.70
|
| handbrake | 1897.99 |
2235.24
|
points |
1.18
|
| icePack | 1543.34 |
1643.73
|
points |
1.07
|
| maya | 2037.06 |
2598.62
|
points |
1.28
|
| MayaVenice | 472.63 |
727.69
|
points |
1.54
|
| MandE | 1625.72 |
1617.66
|
points |
0.99
|
| mcad | 2612.50 |
2360.46
|
points |
0.90
|
| mozillaVS | 7708.43 |
3983.74
|
points |
0.52
|
| namd | 1250.61 |
1166.31
|
points |
0.93
|
| proddev | 659.82 |
482.02
|
points |
0.73
|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2025, 2:28:08 PM GMT+8 |
0.62
|
||||
| Decompression | 29.46 sec | 16.04 |
29.46
|
sec |
0.54
|
|
| Compression | 390.66 sec | 254.57 |
390.66
|
sec |
0.65
|
|
| Autodesk Inventor | Nov 19, 2025, 2:35:15 PM GMT+8 |
0.92
|
||||
| Open Document | 4.74 sec | 4253.73 |
4482.00
|
ms |
0.95
|
|
| Create/Update Files | 7.35 sec | 4973.68 |
5494.00
|
ms |
0.91
|
|
| Rebuild | 10.29 sec | 10590.28 |
9950.00
|
ms |
1.06
|
|
| Render Style/Material | 1.11 sec | 628.78 |
798.00
|
ms |
0.79
|
|
| Blender | Nov 19, 2025, 2:36:23 PM GMT+8 |
0.71
|
||||
| Classroom | 176.46 sec | 281.72 |
176.46
|
sec |
1.60
|
|
| BMW27 | 84.98 sec | 43.82 |
84.98
|
sec |
0.52
|
|
| BMW1M | 32.00 sec | 17.74 |
32.00
|
sec |
0.55
|
|
| Island | 52.96 sec | 29.68 |
52.96
|
sec |
0.56
|
|
| Convolution | Nov 19, 2025, 2:42:17 PM GMT+8 |
0.51
|
||||
| 20K/100 | 46.80 sec | 0.09 |
0.05
|
iterations/sec |
0.51
|
|
| Data Science | Nov 19, 2025, 2:43:04 PM GMT+8 |
1.01
|
||||
| Pandas | 139.09 sec | 131.99 |
123.28
|
sec |
1.07
|
|
| Scikit-learn | 516.87 sec | 449.17 |
511.75
|
sec |
0.88
|
|
| XGBoost | 107.00 sec | 91.50 |
84.20
|
sec |
1.09
|
|
| HandBrake | Nov 19, 2025, 2:56:10 PM GMT+8 |
0.87
|
||||
| SVT-AV1 8K to 4K | 290.14 sec | 195.16 |
290.14
|
sec |
0.67
|
|
| x265 4K to 1080p | 64.90 sec | 38.36 |
62.45
|
sec |
0.61
|
|
| x265 4K to 4K | 182.66 sec | 107.73 |
180.32
|
sec |
0.60
|
|
| x264 1080p to 1080p | 28.37 sec | 49.98 |
28.37
|
sec |
1.76
|
|
| GPU H.265 4K to 4K | 102.50 sec | 169.65 |
114.74
|
fps |
0.68
|
|
| GPU H.265 4K to 1080p | 255.53 sec | 128.84 |
184.99
|
fps |
1.44
|
|
| Hidden Line Removal | Nov 19, 2025, 3:11:44 PM GMT+8 |
0.51
|
||||
| Palatov | 19.74 sec | 24.29 |
12.36
|
fps |
0.51
|
|
| LAMMPS | Nov 19, 2025, 3:12:05 PM GMT+8 |
0.77
|
||||
| LJ | 31.14 sec | 705.82 |
467.56
|
tau/day |
0.66
|
|
| CHAIN | 21.95 sec | 1190.35 |
1043.61
|
tau/day |
0.88
|
|
| EAM | 34.51 sec | 0.63 |
0.40
|
ns/day |
0.63
|
|
| CHUTE | 9.08 sec | 38.25 |
48.93
|
tau/day |
1.28
|
|
| RHODO | 15.87 sec | 0.26 |
0.15
|
ns/day |
0.58
|
|
| LLVM Clang | Nov 19, 2025, 3:13:58 PM GMT+8 |
0.48
|
||||
| PyTorch | 1193.19 sec | 562.76 |
1162.99
|
sec |
0.48
|
|
| LuxCoreRender | Nov 19, 2025, 3:35:45 PM GMT+8 |
0.50
|
||||
| DLSC | 33.08 sec | 2.46 |
1.42
|
Msamples/sec |
0.58
|
|
| Food | 50.55 sec | 1.84 |
0.94
|
Msamples/sec |
0.51
|
|
| Danish Mood | 164.28 sec | 2.29 |
0.89
|
Msamples/sec |
0.39
|
|
| Procedural Leaves | 89.54 sec | 1.10 |
0.60
|
Msamples/sec |
0.55
|
|
| MFEM | Nov 19, 2025, 3:41:23 PM GMT+8 |
0.83
|
||||
| Dynamic AMR | 274.09 sec | 227.39 |
274.09
|
sec |
0.83
|
|
| NAMD | Nov 19, 2025, 3:45:57 PM GMT+8 |
0.64
|
||||
| apoa1 | 15.03 sec | 45.38 |
68.67
|
ms/step |
0.66
|
|
| f1atpase | 25.36 sec | 130.50 |
214.63
|
ms/step |
0.61
|
|
| stmv | 52.19 sec | 448.57 |
700.69
|
ms/step |
0.64
|
|
| Octave | Nov 19, 2025, 3:47:30 PM GMT+8 |
1.05
|
||||
| obench | 32.99 sec | 1.20 |
1.14
|
sec/operation |
1.06
|
|
| benchmark2 | 11.67 sec | 0.11 |
0.10
|
sec/operation |
1.05
|
|
| ONNX Inference | Nov 19, 2025, 3:48:33 PM GMT+8 |
0.71
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.54 sec | 63.72 |
175.53
|
ms |
0.36
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.34 sec | 18.33 |
8.13
|
inferences/sec |
0.44
|
|
| CPU ResNet50-FP32-batch8 Throughput | 22.25 sec | 18.33 |
5.29
|
inferences/sec |
0.29
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.30 sec | 22.37 |
57.95
|
ms |
0.39
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.57 sec | 46.62 |
23.30
|
inferences/sec |
0.50
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.84 sec | 46.62 |
17.03
|
inferences/sec |
0.36
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.36 sec | 58.42 |
150.91
|
ms |
0.39
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.04 sec | 20.87 |
9.22
|
inferences/sec |
0.44
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.83 sec | 20.87 |
6.85
|
inferences/sec |
0.33
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.21 sec | 21.34 |
50.10
|
ms |
0.43
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.43 sec | 55.92 |
28.18
|
inferences/sec |
0.50
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.75 sec | 55.92 |
19.72
|
inferences/sec |
0.35
|
|
| GPU ResNet50-FP32-batch32 Throughput | 22.87 sec | 3.92 |
8.69
|
inferences/sec |
2.22
|
|
| GPU ResNet50-INT8-batch32 Throughput | 21.91 sec | 1.92 |
5.01
|
inferences/sec |
2.61
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.54 sec | 6.59 |
10.66
|
inferences/sec |
1.62
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.65 sec | 1.92 |
3.15
|
inferences/sec |
1.64
|
|
| OpenFOAM | Nov 19, 2025, 3:54:14 PM GMT+8 |
4.66
|
||||
| XiFoam Solver | 186.10 sec | 803.27 |
172.22
|
sec |
4.66
|
|
| Options Pricing | Nov 19, 2025, 3:57:26 PM GMT+8 |
0.49
|
||||
| Monte Carlo | 60.63 sec | 35137.48 |
17334.72
|
options/sec |
0.49
|
|
| Black-Scholes | 41.77 sec | 3389.63 |
1634.19
|
Moptions/sec |
0.48
|
|
| Binomial | 27.09 sec | 79377.62 |
38855.70
|
options/sec |
0.49
|
|
| Poisson | Nov 19, 2025, 3:59:36 PM GMT+8 |
1.57
|
||||
| Jacobi Rectangular Grid | 10.17 sec | 16.05 |
25.57
|
iterations/sec |
1.59
|
|
| Jacobi Square Grid | 10.16 sec | 6.19 |
9.61
|
iterations/sec |
1.55
|
|
| Python 3 | Nov 19, 2025, 3:59:57 PM GMT+8 |
0.73
|
||||
| NumPy Create Matrix | 3.06 sec | 0.36 |
0.53
|
sec |
0.68
|
|
| NumPy Add Matrix | 5.58 sec | 4.44 |
4.46
|
sec |
1.00
|
|
| NumPy Multiply Matrix | 11.48 sec | 8.06 |
10.31
|
sec |
0.78
|
|
| NumPy Invert Matrix | 20.30 sec | 15.53 |
19.09
|
sec |
0.81
|
|
| NumPy Sin Matrix | 3.81 sec | 2.67 |
2.52
|
sec |
1.06
|
|
| Multi-Matrix | 105.53 sec | 65.50 |
104.46
|
sec |
0.63
|
|
| Rodinia CFD | Nov 19, 2025, 4:02:41 PM GMT+8 |
0.75
|
||||
| Pre-Euler | 33.45 sec | 138.14 |
103.40
|
iterations/sec |
0.75
|
|
| Rodinia Life Sciences | Nov 19, 2025, 4:03:15 PM GMT+8 |
0.60
|
||||
| Heart Wall | 11.25 sec | 0.69 |
0.45
|
fps |
0.66
|
|
| HotSpot | 14.37 sec | 8.55 |
13.13
|
sec |
0.65
|
|
| LavaMD | 22.38 sec | 0.07 |
0.05
|
iterations/sec |
0.66
|
|
| SRAD | 10.35 sec | 47.04 |
22.21
|
iterations/sec |
0.47
|
|
| SRMP | Nov 19, 2025, 4:04:14 PM GMT+8 |
0.58
|
||||
| 2D | 34.22 sec | 19.45 |
33.70
|
sec |
0.58
|
|
| Viewport Graphics | Nov 19, 2025, 4:04:49 PM GMT+8 |
1.09
|
||||
| 3dsmax | 199.40 sec | 15.96 |
22.13
|
fps |
1.39
|
|
| catia | 190.52 sec | 17.57 |
16.09
|
fps |
0.92
|
|
| creo | 245.26 sec | 48.42 |
36.76
|
fps |
0.76
|
|
| energy | 105.86 sec | 11.48 |
9.27
|
fps |
0.81
|
|
| maya | 135.71 sec | 62.09 |
94.31
|
fps |
1.52
|
|
| medical | 133.90 sec | 9.63 |
12.58
|
fps |
1.31
|
|
| solidworks | 163.63 sec | 42.90 |
50.58
|
fps |
1.18
|
|
| WPCstorage | Nov 19, 2025, 4:25:52 PM GMT+8 |
0.87
|
||||
| 3dsmax | 58.83 sec | 3299.42 |
3291.06
|
points |
1.00
|
|
| 7zip | 64.52 sec | 431.06 |
354.89
|
points |
0.82
|
|
| ccx | 11.50 sec | 1398.45 |
1716.38
|
points |
1.23
|
|
| cfd | 13.52 sec | 1921.51 |
470.01
|
points |
0.24
|
|
| energy | 23.72 sec | 1547.93 |
1086.72
|
points |
0.70
|
|
| handbrake | 15.90 sec | 1897.99 |
2235.24
|
points |
1.18
|
|
| icePack | 56.53 sec | 1543.34 |
1643.73
|
points |
1.07
|
|
| maya | 50.95 sec | 2037.06 |
2598.62
|
points |
1.28
|
|
| MayaVenice | 26.65 sec | 472.63 |
727.69
|
points |
1.54
|
|
| MandE | 21.95 sec | 1625.72 |
1617.66
|
points |
0.99
|
|
| mcad | 73.06 sec | 2612.50 |
2360.46
|
points |
0.90
|
|
| mozillaVS | 35.55 sec | 7708.43 |
3983.74
|
points |
0.52
|
|
| namd | 17.88 sec | 1250.61 |
1166.31
|
points |
0.93
|
|
| proddev | 19.36 sec | 659.82 |
482.02
|
points |
0.73
|
System Configuration Details
MOTHERBOARD
Name: LNVNB161216Model: 21TR
Version: SDK0T76576 WIN
Manufacturer: LENOVO
Serial Number: PF5SCBJ0
BIOS: LENOVO QWCN34WW
BIOS Version: LENOVO - 1 (2025-05-07)
PROCESSOR
CPU #1: Intel(R) Core(TM) Ultra 7 258V (2200MHz / 8C / 8T)
MEMORY
BANK 0 (Controller0-ChannelA): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)BANK 1 (Controller0-ChannelB): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
BANK 2 (Controller0-ChannelC): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
BANK 3 (Controller0-ChannelD): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
BANK 0 (Controller1-ChannelA): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
BANK 1 (Controller1-ChannelB): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
BANK 2 (Controller1-ChannelC): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
BANK 3 (Controller1-ChannelD): Micron Technology (4.00 GB / 8533 MHz / LPDDR5)
Total Memory: 32.00 GB
STORAGE
Disk #1: SAMSUNG MZAL81T0HDLB-00BL2 (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)
Available Volumes
C: (Windows-SSD): NTFS (670.75 GB of 951.65 GB Available)
NETWORK
Adapter #1: Intel(R) Wi-Fi 7 BE201 320MHzType: Ethernet 802.3 | MAC: 4C:0F:3E:D5:DC:F2 | Speed: 5188.80 Mbit
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 4C:0F:3E:D5:DC:F6 | Speed: Not Connected
GRAPHICS
Adapter #1: Lenovo Virtual Display DriverVideo Memory: 0.00 GB
Current Resolution: Unknown
Driver Version: 1.0.0.10 (2025-04-25)
Adapter #2: Intel(R) Arc(TM) 140V GPU (16GB)
Video Memory: 18.09 GB
Current Resolution: 2000x2352 @ 120 Hz (32-bit Color)
Driver Version: 32.0.101.6987 (2025-08-05)
DISPLAY
Display #1: LENOVO GROUP LIMITED Internal Display 1.4" (2000x2664)Model: 8B12 | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1333x1067 @ 32 bpp
BATTERY
Battery #1 : P/N: L24M3PE3 | Mfg: Unknown | Charge Level: 100%
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26200.7171 (Release 2009)
Installation Date: 2025-11-01
Free Memory: 21.78 GB (Physical) | 23.05 GB (Virtual) | 2.02 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: 平衡 (381b4222-f694-41f0-9685-ff5bb260df2e)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)