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 | Dell Pro Max Slim FCS1250 |
| CPU | Intel(R) Core(TM) Ultra 9 285K |
| Memory | 64.00 GB @ 5600 MHz |
| GPU | Intel(R) Graphics |
| Display | DELL P2815Q 27.8" (3840x2160) |
| Storage | NVMe PC SN8000S SED WD 2048GB 1907.73 GB - SCSI |
| OS | Microsoft Windows 11 Pro (26100) |
Submission Details
| Result Date | Mon Apr 21 2025 20:44:17 GMT-0700 (Pacific Daylight Time) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
1.81 |
Energy |
1.11 |
Financial Services |
1.80 |
Life Sciences |
1.53 |
Media & Entertainment |
1.52 |
Product Design |
1.63 |
Productivity & Development |
1.37 |
Hardware Subsystem Scores
| CPU | 2.03 |
| Accelerator | 1.82 |
| Graphics | 0.61 |
| Storage | 0.76 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 3.16 |
| Autodesk Inventor | 1.13 |
| Blender | 2.42 |
| Convolution | 2.02 |
| Data Science | 1.85 |
| HandBrake | 2.19 |
| Hidden Line Removal | 1.40 |
| LAMMPS | 1.91 |
| LLVM Clang | 2.00 |
| LuxCoreRender | 2.12 |
| MFEM | 2.06 |
| NAMD | 2.35 |
| Octave | 1.21 |
| ONNX Inference | 1.77 |
| OpenFOAM | 7.88 |
| Options Pricing | 1.80 |
| Poisson | 1.65 |
| Python 3 | 1.59 |
| Rodinia CFD | 3.22 |
| Rodinia Life Sciences | 2.18 |
| SRMP | 2.07 |
| Viewport Graphics | 0.61 |
| WPCstorage | 0.76 |
Industry Vertical Scores
| AI & Machine Learning | 1.81 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
103.07
|
sec |
1.28
|
| Scikit-learn | 449.17 |
198.58
|
sec |
2.26
|
| XGBoost | 91.50 |
41.85
|
sec |
2.19
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
32.58
|
ms |
1.96
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
30.89
|
inferences/sec |
1.69
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
15.09
|
ms |
1.48
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
97.86
|
inferences/sec |
2.10
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
32.32
|
ms |
1.81
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
41.90
|
inferences/sec |
2.01
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
12.58
|
ms |
1.70
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
90.86
|
inferences/sec |
1.62
|
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
4.83
|
inferences/sec |
1.23
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
6.79
|
inferences/sec |
3.54
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
5.94
|
inferences/sec |
0.90
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
4.37
|
inferences/sec |
2.27
|
Industry Vertical Scores
| Energy | 1.11 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.18
|
iterations/sec |
2.02
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
28.85
|
iterations/sec |
1.80
|
| Jacobi Square Grid | 6.19 |
9.34
|
iterations/sec |
1.51
|
| SRMP |
|
|||
| 2D | 19.45 |
9.42
|
sec |
2.07
|
| Viewport Graphics |
|
|||
| energy | 11.48 |
3.65
|
fps |
0.32
|
| WPCstorage |
|
|||
| energy | 1547.93 |
1194.22
|
points |
0.77
|
Industry Vertical Scores
| Financial Services | 1.80 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
64713.53
|
options/sec |
1.84
|
| Black-Scholes | 3389.63 |
6097.98
|
Moptions/sec |
1.80
|
| Binomial | 79377.62 |
139468.41
|
options/sec |
1.76
|
Industry Vertical Scores
| Life Sciences | 1.53 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
1468.57
|
tau/day |
2.08
|
| CHAIN | 1190.35 |
2343.33
|
tau/day |
1.97
|
| EAM | 0.63 |
1.29
|
ns/day |
2.05
|
| CHUTE | 38.25 |
56.41
|
tau/day |
1.47
|
| RHODO | 0.26 |
0.54
|
ns/day |
2.08
|
| NAMD |
|
|||
| apoa1 | 45.38 |
18.54
|
ms/step |
2.45
|
| f1atpase | 130.50 |
58.64
|
ms/step |
2.23
|
| stmv | 448.57 |
189.66
|
ms/step |
2.37
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
1.37
|
fps |
1.98
|
| HotSpot | 8.55 |
2.87
|
sec |
2.98
|
| LavaMD | 0.07 |
0.16
|
iterations/sec |
2.34
|
| SRAD | 47.04 |
76.77
|
iterations/sec |
1.63
|
| Viewport Graphics |
|
|||
| medical | 9.63 |
8.31
|
fps |
0.86
|
| WPCstorage |
|
|||
| namd | 1250.61 |
1226.83
|
points |
0.98
|
Industry Vertical Scores
| Media & Entertainment | 1.52 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
43.50
|
sec |
6.48
|
| BMW27 | 43.82 |
20.63
|
sec |
2.12
|
| BMW1M | 17.74 |
8.26
|
sec |
2.15
|
| Island | 29.68 |
25.48
|
sec |
1.16
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
107.84
|
sec |
1.81
|
| x265 4K to 1080p | 38.36 |
24.36
|
sec |
1.57
|
| x265 4K to 4K | 107.73 |
58.34
|
sec |
1.85
|
| x264 1080p to 1080p | 49.98 |
8.78
|
sec |
5.69
|
| GPU H.265 4K to 4K | 169.65 |
244.40
|
fps |
1.44
|
| GPU H.265 4K to 1080p | 128.84 |
327.63
|
fps |
2.54
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
6.18
|
Msamples/sec |
2.51
|
| Food | 1.84 |
4.00
|
Msamples/sec |
2.17
|
| Danish Mood | 2.29 |
3.91
|
Msamples/sec |
1.71
|
| Procedural Leaves | 1.10 |
2.40
|
Msamples/sec |
2.18
|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
12.04
|
fps |
0.75
|
| maya | 62.09 |
51.51
|
fps |
0.83
|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
2363.79
|
points |
0.72
|
| handbrake | 1897.99 |
2007.09
|
points |
1.06
|
| maya | 2037.06 |
2284.57
|
points |
1.12
|
| MayaVenice | 472.63 |
686.27
|
points |
1.45
|
| MandE | 1625.72 |
776.16
|
points |
0.48
|
Industry Vertical Scores
| Product Design | 1.63 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
3881.00
|
ms |
1.10
|
| Create/Update Files | 4973.68 |
4204.00
|
ms |
1.18
|
| Rebuild | 10590.28 |
8714.00
|
ms |
1.22
|
| Render Style/Material | 628.78 |
602.00
|
ms |
1.04
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
34.09
|
fps |
1.40
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
110.28
|
sec |
2.06
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
101.93
|
sec |
7.88
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
444.30
|
iterations/sec |
3.22
|
| Viewport Graphics |
|
|||
| catia | 17.57 |
10.86
|
fps |
0.62
|
| creo | 48.42 |
22.25
|
fps |
0.46
|
| solidworks | 42.90 |
28.19
|
fps |
0.66
|
| WPCstorage |
|
|||
| ccx | 1398.45 |
1154.22
|
points |
0.82
|
| cfd | 1921.51 |
1428.63
|
points |
0.74
|
| icePack | 1543.34 |
1210.56
|
points |
0.78
|
| mcad | 2612.50 |
3048.85
|
points |
1.17
|
| proddev | 659.82 |
130.27
|
points |
0.20
|
Industry Vertical Scores
| Productivity & Development | 1.37 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
18.04
|
sec |
0.89
|
| Compression | 254.57 |
46.80
|
sec |
5.44
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
281.96
|
sec |
2.00
|
| Octave |
|
|||
| obench | 1.20 |
0.97
|
sec/operation |
1.24
|
| benchmark2 | 0.11 |
0.09
|
sec/operation |
1.19
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.47
|
sec |
0.76
|
| NumPy Add Matrix | 4.44 |
3.87
|
sec |
1.15
|
| NumPy Multiply Matrix | 8.06 |
5.12
|
sec |
1.58
|
| NumPy Invert Matrix | 15.53 |
11.36
|
sec |
1.37
|
| NumPy Sin Matrix | 2.67 |
2.20
|
sec |
1.22
|
| Multi-Matrix | 65.50 |
30.49
|
sec |
2.15
|
| WPCstorage |
|
|||
| 7zip | 431.06 |
341.15
|
points |
0.79
|
| mozillaVS | 7708.43 |
4567.72
|
points |
0.59
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
1.82
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| HandBrake |
|
|||
| GPU H.265 4K to 4K | 169.65 |
244.40
|
fps |
1.44
|
| GPU H.265 4K to 1080p | 128.84 |
327.63
|
fps |
2.54
|
| ONNX Inference |
|
|||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
4.83
|
inferences/sec |
1.23
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
6.79
|
inferences/sec |
3.54
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
5.94
|
inferences/sec |
0.90
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
4.37
|
inferences/sec |
2.27
|
2.03
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
18.04
|
sec |
0.89
|
| Compression | 254.57 |
46.80
|
sec |
5.44
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
3881.00
|
ms |
1.10
|
| Create/Update Files | 4973.68 |
4204.00
|
ms |
1.18
|
| Rebuild | 10590.28 |
8714.00
|
ms |
1.22
|
| Render Style/Material | 628.78 |
602.00
|
ms |
1.04
|
| Blender |
|
|||
| Classroom | 281.72 |
43.50
|
sec |
6.48
|
| BMW27 | 43.82 |
20.63
|
sec |
2.12
|
| BMW1M | 17.74 |
8.26
|
sec |
2.15
|
| Island | 29.68 |
25.48
|
sec |
1.16
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.18
|
iterations/sec |
2.02
|
| Data Science |
|
|||
| Pandas | 131.99 |
103.07
|
sec |
1.28
|
| Scikit-learn | 449.17 |
198.58
|
sec |
2.26
|
| XGBoost | 91.50 |
41.85
|
sec |
2.19
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
107.84
|
sec |
1.81
|
| x265 4K to 1080p | 38.36 |
24.36
|
sec |
1.57
|
| x265 4K to 4K | 107.73 |
58.34
|
sec |
1.85
|
| x264 1080p to 1080p | 49.98 |
8.78
|
sec |
5.69
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
34.09
|
fps |
1.40
|
| LAMMPS |
|
|||
| LJ | 705.82 |
1468.57
|
tau/day |
2.08
|
| CHAIN | 1190.35 |
2343.33
|
tau/day |
1.97
|
| EAM | 0.63 |
1.29
|
ns/day |
2.05
|
| CHUTE | 38.25 |
56.41
|
tau/day |
1.47
|
| RHODO | 0.26 |
0.54
|
ns/day |
2.08
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
281.96
|
sec |
2.00
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
6.18
|
Msamples/sec |
2.51
|
| Food | 1.84 |
4.00
|
Msamples/sec |
2.17
|
| Danish Mood | 2.29 |
3.91
|
Msamples/sec |
1.71
|
| Procedural Leaves | 1.10 |
2.40
|
Msamples/sec |
2.18
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
110.28
|
sec |
2.06
|
| NAMD |
|
|||
| apoa1 | 45.38 |
18.54
|
ms/step |
2.45
|
| f1atpase | 130.50 |
58.64
|
ms/step |
2.23
|
| stmv | 448.57 |
189.66
|
ms/step |
2.37
|
| Octave |
|
|||
| obench | 1.20 |
0.97
|
sec/operation |
1.24
|
| benchmark2 | 0.11 |
0.09
|
sec/operation |
1.19
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
32.58
|
ms |
1.96
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
30.89
|
inferences/sec |
1.69
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
15.09
|
ms |
1.48
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
97.86
|
inferences/sec |
2.10
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
32.32
|
ms |
1.81
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
41.90
|
inferences/sec |
2.01
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
12.58
|
ms |
1.70
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
90.86
|
inferences/sec |
1.62
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
101.93
|
sec |
7.88
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
64713.53
|
options/sec |
1.84
|
| Black-Scholes | 3389.63 |
6097.98
|
Moptions/sec |
1.80
|
| Binomial | 79377.62 |
139468.41
|
options/sec |
1.76
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
28.85
|
iterations/sec |
1.80
|
| Jacobi Square Grid | 6.19 |
9.34
|
iterations/sec |
1.51
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.47
|
sec |
0.76
|
| NumPy Add Matrix | 4.44 |
3.87
|
sec |
1.15
|
| NumPy Multiply Matrix | 8.06 |
5.12
|
sec |
1.58
|
| NumPy Invert Matrix | 15.53 |
11.36
|
sec |
1.37
|
| NumPy Sin Matrix | 2.67 |
2.20
|
sec |
1.22
|
| Multi-Matrix | 65.50 |
30.49
|
sec |
2.15
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
444.30
|
iterations/sec |
3.22
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
1.37
|
fps |
1.98
|
| HotSpot | 8.55 |
2.87
|
sec |
2.98
|
| LavaMD | 0.07 |
0.16
|
iterations/sec |
2.34
|
| SRAD | 47.04 |
76.77
|
iterations/sec |
1.63
|
| SRMP |
|
|||
| 2D | 19.45 |
9.42
|
sec |
2.07
|
0.61
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
12.04
|
fps |
0.75
|
| catia | 17.57 |
10.86
|
fps |
0.62
|
| creo | 48.42 |
22.25
|
fps |
0.46
|
| energy | 11.48 |
3.65
|
fps |
0.32
|
| maya | 62.09 |
51.51
|
fps |
0.83
|
| medical | 9.63 |
8.31
|
fps |
0.86
|
| solidworks | 42.90 |
28.19
|
fps |
0.66
|
0.76
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
2363.79
|
points |
0.72
|
| 7zip | 431.06 |
341.15
|
points |
0.79
|
| ccx | 1398.45 |
1154.22
|
points |
0.82
|
| cfd | 1921.51 |
1428.63
|
points |
0.74
|
| energy | 1547.93 |
1194.22
|
points |
0.77
|
| handbrake | 1897.99 |
2007.09
|
points |
1.06
|
| icePack | 1543.34 |
1210.56
|
points |
0.78
|
| maya | 2037.06 |
2284.57
|
points |
1.12
|
| MayaVenice | 472.63 |
686.27
|
points |
1.45
|
| MandE | 1625.72 |
776.16
|
points |
0.48
|
| mcad | 2612.50 |
3048.85
|
points |
1.17
|
| mozillaVS | 7708.43 |
4567.72
|
points |
0.59
|
| namd | 1250.61 |
1226.83
|
points |
0.98
|
| proddev | 659.82 |
130.27
|
points |
0.20
|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Apr 21, 2025, 8:44:17 PM PDT |
3.16
|
||||
| Decompression | 18.04 sec | 16.04 |
18.04
|
sec |
0.89
|
|
| Compression | 46.80 sec | 254.57 |
46.80
|
sec |
5.44
|
|
| Autodesk Inventor | Apr 21, 2025, 8:45:26 PM PDT |
1.13
|
||||
| Open Document | 4.08 sec | 4253.73 |
3881.00
|
ms |
1.10
|
|
| Create/Update Files | 5.94 sec | 4973.68 |
4204.00
|
ms |
1.18
|
|
| Rebuild | 8.92 sec | 10590.28 |
8714.00
|
ms |
1.22
|
|
| Render Style/Material | 0.81 sec | 628.78 |
602.00
|
ms |
1.04
|
|
| Blender | Apr 21, 2025, 8:46:13 PM PDT |
2.42
|
||||
| Classroom | 43.50 sec | 281.72 |
43.50
|
sec |
6.48
|
|
| BMW27 | 20.63 sec | 43.82 |
20.63
|
sec |
2.12
|
|
| BMW1M | 8.26 sec | 17.74 |
8.26
|
sec |
2.15
|
|
| Island | 25.48 sec | 29.68 |
25.48
|
sec |
1.16
|
|
| Convolution | Apr 21, 2025, 8:47:55 PM PDT |
2.02
|
||||
| 20K/100 | 34.38 sec | 0.09 |
0.18
|
iterations/sec |
2.02
|
|
| Data Science | Apr 21, 2025, 8:48:30 PM PDT |
1.85
|
||||
| Pandas | 223.97 sec | 131.99 |
103.07
|
sec |
1.28
|
|
| Scikit-learn | 202.63 sec | 449.17 |
198.58
|
sec |
2.26
|
|
| XGBoost | 61.59 sec | 91.50 |
41.85
|
sec |
2.19
|
|
| HandBrake | Apr 21, 2025, 8:56:54 PM PDT |
2.19
|
||||
| SVT-AV1 8K to 4K | 107.84 sec | 195.16 |
107.84
|
sec |
1.81
|
|
| x265 4K to 1080p | 26.27 sec | 38.36 |
24.36
|
sec |
1.57
|
|
| x265 4K to 4K | 60.13 sec | 107.73 |
58.34
|
sec |
1.85
|
|
| x264 1080p to 1080p | 8.78 sec | 49.98 |
8.78
|
sec |
5.69
|
|
| GPU H.265 4K to 4K | 41.66 sec | 169.65 |
244.40
|
fps |
1.44
|
|
| GPU H.265 4K to 1080p | 176.39 sec | 128.84 |
327.63
|
fps |
2.54
|
|
| Hidden Line Removal | Apr 21, 2025, 9:04:01 PM PDT |
1.40
|
||||
| Palatov | 17.32 sec | 24.29 |
34.09
|
fps |
1.40
|
|
| LAMMPS | Apr 21, 2025, 9:04:19 PM PDT |
1.91
|
||||
| LJ | 10.35 sec | 705.82 |
1468.57
|
tau/day |
2.08
|
|
| CHAIN | 10.55 sec | 1190.35 |
2343.33
|
tau/day |
1.97
|
|
| EAM | 10.83 sec | 0.63 |
1.29
|
ns/day |
2.05
|
|
| CHUTE | 7.23 sec | 38.25 |
56.41
|
tau/day |
1.47
|
|
| RHODO | 5.08 sec | 0.26 |
0.54
|
ns/day |
2.08
|
|
| LLVM Clang | Apr 21, 2025, 9:05:04 PM PDT |
2.00
|
||||
| PyTorch | 303.24 sec | 562.76 |
281.96
|
sec |
2.00
|
|
| LuxCoreRender | Apr 21, 2025, 9:11:20 PM PDT |
2.12
|
||||
| DLSC | 9.53 sec | 2.46 |
6.18
|
Msamples/sec |
2.51
|
|
| Food | 14.29 sec | 1.84 |
4.00
|
Msamples/sec |
2.17
|
|
| Danish Mood | 38.50 sec | 2.29 |
3.91
|
Msamples/sec |
1.71
|
|
| Procedural Leaves | 22.83 sec | 1.10 |
2.40
|
Msamples/sec |
2.18
|
|
| MFEM | Apr 21, 2025, 9:12:46 PM PDT |
2.06
|
||||
| Dynamic AMR | 110.28 sec | 227.39 |
110.28
|
sec |
2.06
|
|
| NAMD | Apr 21, 2025, 9:14:36 PM PDT |
2.35
|
||||
| apoa1 | 10.98 sec | 45.38 |
18.54
|
ms/step |
2.45
|
|
| f1atpase | 15.71 sec | 130.50 |
58.64
|
ms/step |
2.23
|
|
| stmv | 27.02 sec | 448.57 |
189.66
|
ms/step |
2.37
|
|
| Octave | Apr 21, 2025, 9:15:30 PM PDT |
1.21
|
||||
| obench | 51.56 sec | 1.20 |
0.97
|
sec/operation |
1.24
|
|
| benchmark2 | 11.09 sec | 0.11 |
0.09
|
sec/operation |
1.19
|
|
| ONNX Inference | Apr 21, 2025, 9:16:44 PM PDT |
1.77
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.52 sec | 63.72 |
32.58
|
ms |
1.96
|
|
| CPU ResNet50-FP32-batch8 Throughput | 20.89 sec | 18.33 |
25.42
|
inferences/sec |
1.39
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.25 sec | 18.33 |
30.89
|
inferences/sec |
1.69
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.15 sec | 22.37 |
15.09
|
ms |
1.48
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.45 sec | 46.62 |
58.33
|
inferences/sec |
1.25
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.49 sec | 46.62 |
97.86
|
inferences/sec |
2.10
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.12 sec | 58.42 |
32.32
|
ms |
1.81
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.60 sec | 20.87 |
41.90
|
inferences/sec |
2.01
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.15 sec | 20.87 |
26.73
|
inferences/sec |
1.28
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.13 sec | 21.34 |
12.58
|
ms |
1.70
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.33 sec | 55.92 |
90.86
|
inferences/sec |
1.62
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.42 sec | 55.92 |
81.67
|
inferences/sec |
1.46
|
|
| GPU ResNet50-FP32-batch32 Throughput | 20.92 sec | 3.92 |
4.83
|
inferences/sec |
1.23
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.57 sec | 1.92 |
6.79
|
inferences/sec |
3.54
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 20.81 sec | 6.59 |
5.94
|
inferences/sec |
0.90
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.60 sec | 1.92 |
4.37
|
inferences/sec |
2.27
|
|
| OpenFOAM | Apr 21, 2025, 9:22:15 PM PDT |
7.88
|
||||
| XiFoam Solver | 110.61 sec | 803.27 |
101.93
|
sec |
7.88
|
|
| Options Pricing | Apr 21, 2025, 9:24:10 PM PDT |
1.80
|
||||
| Monte Carlo | 16.28 sec | 35137.48 |
64713.53
|
options/sec |
1.84
|
|
| Black-Scholes | 11.86 sec | 3389.63 |
6097.98
|
Moptions/sec |
1.80
|
|
| Binomial | 7.57 sec | 79377.62 |
139468.41
|
options/sec |
1.76
|
|
| Poisson | Apr 21, 2025, 9:24:45 PM PDT |
1.65
|
||||
| Jacobi Rectangular Grid | 10.08 sec | 16.05 |
28.85
|
iterations/sec |
1.80
|
|
| Jacobi Square Grid | 10.09 sec | 6.19 |
9.34
|
iterations/sec |
1.51
|
|
| Python 3 | Apr 21, 2025, 9:25:06 PM PDT |
1.59
|
||||
| NumPy Create Matrix | 31.83 sec | 0.36 |
0.47
|
sec |
0.76
|
|
| NumPy Add Matrix | 4.59 sec | 4.44 |
3.87
|
sec |
1.15
|
|
| NumPy Multiply Matrix | 5.83 sec | 8.06 |
5.12
|
sec |
1.58
|
|
| NumPy Invert Matrix | 12.10 sec | 15.53 |
11.36
|
sec |
1.37
|
|
| NumPy Sin Matrix | 2.92 sec | 2.67 |
2.20
|
sec |
1.22
|
|
| Multi-Matrix | 31.21 sec | 65.50 |
30.49
|
sec |
2.15
|
|
| Rodinia CFD | Apr 21, 2025, 9:26:47 PM PDT |
3.22
|
||||
| Pre-Euler | 32.66 sec | 138.14 |
444.30
|
iterations/sec |
3.22
|
|
| Rodinia Life Sciences | Apr 21, 2025, 9:27:20 PM PDT |
2.18
|
||||
| Heart Wall | 10.41 sec | 0.69 |
1.37
|
fps |
1.98
|
|
| HotSpot | 3.78 sec | 8.55 |
2.87
|
sec |
2.98
|
|
| LavaMD | 12.47 sec | 0.07 |
0.16
|
iterations/sec |
2.34
|
|
| SRAD | 10.17 sec | 47.04 |
76.77
|
iterations/sec |
1.63
|
|
| SRMP | Apr 21, 2025, 9:27:57 PM PDT |
2.07
|
||||
| 2D | 9.78 sec | 19.45 |
9.42
|
sec |
2.07
|
|
| Viewport Graphics | Apr 21, 2025, 9:28:07 PM PDT |
0.61
|
||||
| 3dsmax | 329.37 sec | 15.96 |
12.04
|
fps |
0.75
|
|
| catia | 242.78 sec | 17.57 |
10.86
|
fps |
0.62
|
|
| creo | 327.87 sec | 48.42 |
22.25
|
fps |
0.46
|
|
| energy | 220.35 sec | 11.48 |
3.65
|
fps |
0.32
|
|
| maya | 178.46 sec | 62.09 |
51.51
|
fps |
0.83
|
|
| medical | 157.34 sec | 9.63 |
8.31
|
fps |
0.86
|
|
| solidworks | 222.48 sec | 42.90 |
28.19
|
fps |
0.66
|
|
| WPCstorage | Apr 21, 2025, 9:57:04 PM PDT |
0.76
|
||||
| 3dsmax | 67.22 sec | 3299.42 |
2363.79
|
points |
0.72
|
|
| 7zip | 60.28 sec | 431.06 |
341.15
|
points |
0.79
|
|
| ccx | 11.28 sec | 1398.45 |
1154.22
|
points |
0.82
|
|
| cfd | 12.07 sec | 1921.51 |
1428.63
|
points |
0.74
|
|
| energy | 22.33 sec | 1547.93 |
1194.22
|
points |
0.77
|
|
| handbrake | 15.80 sec | 1897.99 |
2007.09
|
points |
1.06
|
|
| icePack | 63.05 sec | 1543.34 |
1210.56
|
points |
0.78
|
|
| maya | 52.76 sec | 2037.06 |
2284.57
|
points |
1.12
|
|
| MayaVenice | 33.61 sec | 472.63 |
686.27
|
points |
1.45
|
|
| MandE | 22.59 sec | 1625.72 |
776.16
|
points |
0.48
|
|
| mcad | 60.78 sec | 2612.50 |
3048.85
|
points |
1.17
|
|
| mozillaVS | 75.09 sec | 7708.43 |
4567.72
|
points |
0.59
|
|
| namd | 17.10 sec | 1250.61 |
1226.83
|
points |
0.98
|
|
| proddev | 27.64 sec | 659.82 |
130.27
|
points |
0.20
|
System Configuration Details
MOTHERBOARD
Name: 07PPHMModel: Dell Pro Max Slim FCS1250
Version: A00
Manufacturer: Dell Inc.
Serial Number: /8ZJ8Z84/MXFC60052C0064/
BIOS: Dell Inc. 1.2.1
BIOS Version: DELL - 2 (2025-03-13)
PROCESSOR
CPU #1: Intel(R) Core(TM) Ultra 9 285K (3700MHz / 24C / 24T)
MEMORY
(DIMM1): 80AD000080AD HMCG88AGBUA084N (32.00 GB / 5600 MHz / DDR5)(DIMM2): 80AD000080AD HMCG88AGBUA084N (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: NVMe PC SN8000S SED WD 2048GB (1907.73 GB - SCSI)Partition 1: GPT: System (0.47 GB)
Partition 2: GPT: Basic Data (1904.67 GB)
Partition 3: GPT: Unknown (0.97 GB)
Partition 4: GPT: Unknown (1.49 GB)
Available Volumes
C: (OS): NTFS (1680.66 GB of 1904.67 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (19) I219-LMType: Ethernet 802.3 | MAC: B4:E9:B8:39:EB:F0 | Speed: 1000.00 Mbit
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: DC:97:BA:FE:75:E4 | Speed: Not Connected
GRAPHICS
Adapter #1: Intel(R) GraphicsVideo Memory: 2.00 GB
Current Resolution: 3840x2160 @ 29 Hz (32-bit Color)
Driver Version: 32.0.101.6647 (2025-02-27)
DISPLAY
Display #1: DELL INC. DELL P2815Q 27.8" (3840x2160)Model: F05A | S/N: WJJGR44UAFPM | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.3775 (Release 2009)
Installation Date: 2025-04-17
Free Memory: 55.57 GB (Physical) | 58.86 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)
Active Power Slider Setting: Better Performance (00000000-0000-0000-0000-000000000000)