Summary
AI & Machine Learning
Energy
Financial Services
Life Sciences
Media & Entertainment
Product Design
Productivity & Development
Subsystem Scores
Workload Scores
Configuration
SPECworkstation® 4.0.0 Summary
Official Submission Candidate
23 of 23 workloads produced scores
System Configuration
| Manufacturer | Dell Inc. |
| Model | Precision 7780 |
| CPU | 13th Gen Intel(R) Core(TM) i9-13950HX |
| Memory | 32.00 GB @ 5600 MHz |
| GPU | 1x NVIDIA RTX 5000 Ada Generation Laptop GPU 1x Intel(R) UHD Graphics |
| Display | Internal Display 17.1" (3840x2160) |
| Storage | Intel Raid 10 Volume 953.87 GB - SCSI |
| OS | Microsoft Windows 11 Pro (22631) |
Submission Details
| Result Date | Wed Nov 20 2024 01:09:23 GMT-0800 (Pacific Standard Time) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
1.96 |
Energy |
1.82 |
Financial Services |
1.06 |
Life Sciences |
2.15 |
Media & Entertainment |
2.04 |
Product Design |
1.88 |
Productivity & Development |
1.40 |
Hardware Subsystem Scores
| CPU | 1.47 |
| Accelerator | 5.11 |
| Graphics | 8.96 |
| Storage | 0.87 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 3.42 |
| Autodesk Inventor | 0.76 |
| Blender | 1.70 |
| Convolution | 1.30 |
| Data Science | 1.47 |
| HandBrake | 1.67 |
| Hidden Line Removal | 1.31 |
| LAMMPS | 1.48 |
| LLVM Clang | 1.48 |
| LuxCoreRender | 1.46 |
| MFEM | 1.36 |
| NAMD | 1.37 |
| Octave | 1.09 |
| ONNX Inference | 2.62 |
| OpenFOAM | 6.77 |
| Options Pricing | 1.06 |
| Poisson | 1.30 |
| Python 3 | 1.20 |
| Rodinia CFD | 1.91 |
| Rodinia Life Sciences | 1.41 |
| SRMP | 1.13 |
| Viewport Graphics | 8.96 |
| WPCstorage | 0.87 |
Industry Vertical Scores
| AI & Machine Learning | 1.96 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
110.62
|
sec |
1.19
|
| Scikit-learn | 449.17 |
262.68
|
sec |
1.71
|
| XGBoost | 91.50 |
58.74
|
sec |
1.56
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
49.77
|
ms |
1.28
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
20.52
|
inferences/sec |
1.12
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
28.38
|
ms |
0.79
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
52.61
|
inferences/sec |
1.13
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
50.64
|
ms |
1.15
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
25.59
|
inferences/sec |
1.23
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
22.62
|
ms |
0.94
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
64.38
|
inferences/sec |
1.15
|
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
45.70
|
inferences/sec |
11.70
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
80.37
|
inferences/sec |
41.90
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
36.10
|
inferences/sec |
5.48
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
38.93
|
inferences/sec |
20.30
|
Industry Vertical Scores
| Energy | 1.82 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.12
|
iterations/sec |
1.30
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
20.93
|
iterations/sec |
1.30
|
| Jacobi Square Grid | 6.19 |
8.07
|
iterations/sec |
1.30
|
| SRMP |
|
|||
| 2D | 19.45 |
17.27
|
sec |
1.13
|
| Viewport Graphics |
|
|||
| energy | 11.48 |
161.33
|
fps |
14.10
|
| WPCstorage |
|
|||
| energy | 1547.93 |
1156.68
|
points |
0.75
|
Industry Vertical Scores
| Financial Services | 1.06 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
37758.64
|
options/sec |
1.07
|
| Black-Scholes | 3389.63 |
3948.93
|
Moptions/sec |
1.17
|
| Binomial | 79377.62 |
74610.71
|
options/sec |
0.94
|
Industry Vertical Scores
| Life Sciences | 2.15 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
1111.62
|
tau/day |
1.57
|
| CHAIN | 1190.35 |
2060.24
|
tau/day |
1.73
|
| EAM | 0.63 |
0.93
|
ns/day |
1.47
|
| CHUTE | 38.25 |
49.19
|
tau/day |
1.29
|
| RHODO | 0.26 |
0.36
|
ns/day |
1.38
|
| NAMD |
|
|||
| apoa1 | 45.38 |
34.33
|
ms/step |
1.32
|
| f1atpase | 130.50 |
97.25
|
ms/step |
1.34
|
| stmv | 448.57 |
310.84
|
ms/step |
1.44
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
0.93
|
fps |
1.34
|
| HotSpot | 8.55 |
5.25
|
sec |
1.63
|
| LavaMD | 0.07 |
0.10
|
iterations/sec |
1.40
|
| SRAD | 47.04 |
60.13
|
iterations/sec |
1.28
|
| Viewport Graphics |
|
|||
| medical | 9.63 |
141.29
|
fps |
14.70
|
| WPCstorage |
|
|||
| namd | 1250.61 |
1375.84
|
points |
1.10
|
Industry Vertical Scores
| Media & Entertainment | 2.04 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
66.53
|
sec |
4.23
|
| BMW27 | 43.82 |
35.08
|
sec |
1.25
|
| BMW1M | 17.74 |
13.60
|
sec |
1.30
|
| Island | 29.68 |
24.52
|
sec |
1.21
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
145.40
|
sec |
1.34
|
| x265 4K to 1080p | 38.36 |
33.98
|
sec |
1.13
|
| x265 4K to 4K | 107.73 |
89.41
|
sec |
1.20
|
| x264 1080p to 1080p | 49.98 |
12.30
|
sec |
4.06
|
| GPU H.265 4K to 4K | 169.65 |
165.67
|
fps |
0.98
|
| GPU H.265 4K to 1080p | 128.84 |
384.90
|
fps |
2.99
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
3.97
|
Msamples/sec |
1.61
|
| Food | 1.84 |
3.00
|
Msamples/sec |
1.63
|
| Danish Mood | 2.29 |
2.83
|
Msamples/sec |
1.24
|
| Procedural Leaves | 1.10 |
1.53
|
Msamples/sec |
1.39
|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
202.01
|
fps |
12.70
|
| maya | 62.09 |
454.13
|
fps |
7.31
|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
2921.27
|
points |
0.89
|
| handbrake | 1897.99 |
1801.82
|
points |
0.95
|
| maya | 2037.06 |
1390.06
|
points |
0.68
|
| MayaVenice | 472.63 |
517.30
|
points |
1.09
|
| MandE | 1625.72 |
1414.39
|
points |
0.87
|
Industry Vertical Scores
| Product Design | 1.88 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
6050.00
|
ms |
0.70
|
| Create/Update Files | 4973.68 |
5242.00
|
ms |
0.95
|
| Rebuild | 10590.28 |
10457.00
|
ms |
1.01
|
| Render Style/Material | 628.78 |
1242.00
|
ms |
0.51
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
31.91
|
fps |
1.31
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
166.67
|
sec |
1.36
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
118.61
|
sec |
6.77
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
263.63
|
iterations/sec |
1.91
|
| Viewport Graphics |
|
|||
| catia | 17.57 |
107.90
|
fps |
6.14
|
| creo | 48.42 |
207.00
|
fps |
4.28
|
| solidworks | 42.90 |
394.60
|
fps |
9.20
|
| WPCstorage |
|
|||
| ccx | 1398.45 |
1149.57
|
points |
0.82
|
| cfd | 1921.51 |
1114.57
|
points |
0.58
|
| icePack | 1543.34 |
1013.73
|
points |
0.66
|
| mcad | 2612.50 |
2495.13
|
points |
0.95
|
| proddev | 659.82 |
501.85
|
points |
0.76
|
Industry Vertical Scores
| Productivity & Development | 1.40 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
12.99
|
sec |
1.23
|
| Compression | 254.57 |
47.91
|
sec |
5.31
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
379.78
|
sec |
1.48
|
| Octave |
|
|||
| obench | 1.20 |
1.11
|
sec/operation |
1.08
|
| benchmark2 | 0.11 |
0.10
|
sec/operation |
1.10
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.35
|
sec |
1.02
|
| NumPy Add Matrix | 4.44 |
4.30
|
sec |
1.03
|
| NumPy Multiply Matrix | 8.06 |
7.21
|
sec |
1.12
|
| NumPy Invert Matrix | 15.53 |
12.54
|
sec |
1.24
|
| NumPy Sin Matrix | 2.67 |
2.61
|
sec |
1.02
|
| Multi-Matrix | 65.50 |
48.71
|
sec |
1.34
|
| WPCstorage |
|
|||
| 7zip | 431.06 |
728.16
|
points |
1.69
|
| mozillaVS | 7708.43 |
6017.98
|
points |
0.78
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
5.11
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| HandBrake |
|
|||
| GPU H.265 4K to 4K | 169.65 |
165.67
|
fps |
0.98
|
| GPU H.265 4K to 1080p | 128.84 |
384.90
|
fps |
2.99
|
| ONNX Inference |
|
|||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
45.70
|
inferences/sec |
11.70
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
80.37
|
inferences/sec |
41.90
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
36.10
|
inferences/sec |
5.48
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
38.93
|
inferences/sec |
20.30
|
1.47
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
12.99
|
sec |
1.23
|
| Compression | 254.57 |
47.91
|
sec |
5.31
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
6050.00
|
ms |
0.70
|
| Create/Update Files | 4973.68 |
5242.00
|
ms |
0.95
|
| Rebuild | 10590.28 |
10457.00
|
ms |
1.01
|
| Render Style/Material | 628.78 |
1242.00
|
ms |
0.51
|
| Blender |
|
|||
| Classroom | 281.72 |
66.53
|
sec |
4.23
|
| BMW27 | 43.82 |
35.08
|
sec |
1.25
|
| BMW1M | 17.74 |
13.60
|
sec |
1.30
|
| Island | 29.68 |
24.52
|
sec |
1.21
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.12
|
iterations/sec |
1.30
|
| Data Science |
|
|||
| Pandas | 131.99 |
110.62
|
sec |
1.19
|
| Scikit-learn | 449.17 |
262.68
|
sec |
1.71
|
| XGBoost | 91.50 |
58.74
|
sec |
1.56
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
145.40
|
sec |
1.34
|
| x265 4K to 1080p | 38.36 |
33.98
|
sec |
1.13
|
| x265 4K to 4K | 107.73 |
89.41
|
sec |
1.20
|
| x264 1080p to 1080p | 49.98 |
12.30
|
sec |
4.06
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
31.91
|
fps |
1.31
|
| LAMMPS |
|
|||
| LJ | 705.82 |
1111.62
|
tau/day |
1.57
|
| CHAIN | 1190.35 |
2060.24
|
tau/day |
1.73
|
| EAM | 0.63 |
0.93
|
ns/day |
1.47
|
| CHUTE | 38.25 |
49.19
|
tau/day |
1.29
|
| RHODO | 0.26 |
0.36
|
ns/day |
1.38
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
379.78
|
sec |
1.48
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
3.97
|
Msamples/sec |
1.61
|
| Food | 1.84 |
3.00
|
Msamples/sec |
1.63
|
| Danish Mood | 2.29 |
2.83
|
Msamples/sec |
1.24
|
| Procedural Leaves | 1.10 |
1.53
|
Msamples/sec |
1.39
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
166.67
|
sec |
1.36
|
| NAMD |
|
|||
| apoa1 | 45.38 |
34.33
|
ms/step |
1.32
|
| f1atpase | 130.50 |
97.25
|
ms/step |
1.34
|
| stmv | 448.57 |
310.84
|
ms/step |
1.44
|
| Octave |
|
|||
| obench | 1.20 |
1.11
|
sec/operation |
1.08
|
| benchmark2 | 0.11 |
0.10
|
sec/operation |
1.10
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
49.77
|
ms |
1.28
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
20.52
|
inferences/sec |
1.12
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
28.38
|
ms |
0.79
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
52.61
|
inferences/sec |
1.13
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
50.64
|
ms |
1.15
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
25.59
|
inferences/sec |
1.23
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
22.62
|
ms |
0.94
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
64.38
|
inferences/sec |
1.15
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
118.61
|
sec |
6.77
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
37758.64
|
options/sec |
1.07
|
| Black-Scholes | 3389.63 |
3948.93
|
Moptions/sec |
1.17
|
| Binomial | 79377.62 |
74610.71
|
options/sec |
0.94
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
20.93
|
iterations/sec |
1.30
|
| Jacobi Square Grid | 6.19 |
8.07
|
iterations/sec |
1.30
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.35
|
sec |
1.02
|
| NumPy Add Matrix | 4.44 |
4.30
|
sec |
1.03
|
| NumPy Multiply Matrix | 8.06 |
7.21
|
sec |
1.12
|
| NumPy Invert Matrix | 15.53 |
12.54
|
sec |
1.24
|
| NumPy Sin Matrix | 2.67 |
2.61
|
sec |
1.02
|
| Multi-Matrix | 65.50 |
48.71
|
sec |
1.34
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
263.63
|
iterations/sec |
1.91
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
0.93
|
fps |
1.34
|
| HotSpot | 8.55 |
5.25
|
sec |
1.63
|
| LavaMD | 0.07 |
0.10
|
iterations/sec |
1.40
|
| SRAD | 47.04 |
60.13
|
iterations/sec |
1.28
|
| SRMP |
|
|||
| 2D | 19.45 |
17.27
|
sec |
1.13
|
8.96
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
202.01
|
fps |
12.70
|
| catia | 17.57 |
107.90
|
fps |
6.14
|
| creo | 48.42 |
207.00
|
fps |
4.28
|
| energy | 11.48 |
161.33
|
fps |
14.10
|
| maya | 62.09 |
454.13
|
fps |
7.31
|
| medical | 9.63 |
141.29
|
fps |
14.70
|
| solidworks | 42.90 |
394.60
|
fps |
9.20
|
0.87
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
2921.27
|
points |
0.89
|
| 7zip | 431.06 |
728.16
|
points |
1.69
|
| ccx | 1398.45 |
1149.57
|
points |
0.82
|
| cfd | 1921.51 |
1114.57
|
points |
0.58
|
| energy | 1547.93 |
1156.68
|
points |
0.75
|
| handbrake | 1897.99 |
1801.82
|
points |
0.95
|
| icePack | 1543.34 |
1013.73
|
points |
0.66
|
| maya | 2037.06 |
1390.06
|
points |
0.68
|
| MayaVenice | 472.63 |
517.30
|
points |
1.09
|
| MandE | 1625.72 |
1414.39
|
points |
0.87
|
| mcad | 2612.50 |
2495.13
|
points |
0.95
|
| mozillaVS | 7708.43 |
6017.98
|
points |
0.78
|
| namd | 1250.61 |
1375.84
|
points |
1.10
|
| proddev | 659.82 |
501.85
|
points |
0.76
|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Nov 20, 2024, 1:09:23 AM PST |
3.42
|
||||
| Decompression | 12.99 sec | 16.04 |
12.99
|
sec |
1.23
|
|
| Compression | 47.91 sec | 254.57 |
47.91
|
sec |
5.31
|
|
| Autodesk Inventor | Nov 20, 2024, 1:10:28 AM PST |
0.76
|
||||
| Open Document | 6.25 sec | 4253.73 |
6050.00
|
ms |
0.70
|
|
| Create/Update Files | 7.00 sec | 4973.68 |
5242.00
|
ms |
0.95
|
|
| Rebuild | 10.64 sec | 10590.28 |
10457.00
|
ms |
1.01
|
|
| Render Style/Material | 1.43 sec | 628.78 |
1242.00
|
ms |
0.51
|
|
| Blender | Nov 20, 2024, 1:11:19 AM PST |
1.70
|
||||
| Classroom | 66.53 sec | 281.72 |
66.53
|
sec |
4.23
|
|
| BMW27 | 35.08 sec | 43.82 |
35.08
|
sec |
1.25
|
|
| BMW1M | 13.60 sec | 17.74 |
13.60
|
sec |
1.30
|
|
| Island | 24.52 sec | 29.68 |
24.52
|
sec |
1.21
|
|
| Convolution | Nov 20, 2024, 1:13:42 AM PST |
1.30
|
||||
| 20K/100 | 35.67 sec | 0.09 |
0.12
|
iterations/sec |
1.30
|
|
| Data Science | Nov 20, 2024, 1:14:18 AM PST |
1.47
|
||||
| Pandas | 113.59 sec | 131.99 |
110.62
|
sec |
1.19
|
|
| Scikit-learn | 266.59 sec | 449.17 |
262.68
|
sec |
1.71
|
|
| XGBoost | 79.27 sec | 91.50 |
58.74
|
sec |
1.56
|
|
| HandBrake | Nov 20, 2024, 1:22:10 AM PST |
1.67
|
||||
| SVT-AV1 8K to 4K | 145.40 sec | 195.16 |
145.40
|
sec |
1.34
|
|
| x265 4K to 1080p | 36.23 sec | 38.36 |
33.98
|
sec |
1.13
|
|
| x265 4K to 4K | 91.56 sec | 107.73 |
89.41
|
sec |
1.20
|
|
| x264 1080p to 1080p | 12.30 sec | 49.98 |
12.30
|
sec |
4.06
|
|
| GPU H.265 4K to 4K | 58.23 sec | 169.65 |
124.80
|
fps |
0.74
|
|
| GPU H.265 4K to 4K | 53.80 sec | 169.65 |
165.67
|
fps |
0.98
|
|
| GPU H.265 4K to 1080p | 199.60 sec | 128.84 |
384.90
|
fps |
2.99
|
|
| GPU H.265 4K to 1080p | 229.34 sec | 128.84 |
196.77
|
fps |
1.53
|
|
| Hidden Line Removal | Nov 20, 2024, 1:36:05 AM PST |
1.31
|
||||
| Palatov | 16.56 sec | 24.29 |
31.91
|
fps |
1.31
|
|
| Palatov | 16.95 sec | 24.29 |
30.00
|
fps |
1.24
|
|
| LAMMPS | Nov 20, 2024, 1:36:39 AM PST |
1.48
|
||||
| LJ | 13.55 sec | 705.82 |
1111.62
|
tau/day |
1.57
|
|
| CHAIN | 12.16 sec | 1190.35 |
2060.24
|
tau/day |
1.73
|
|
| EAM | 15.09 sec | 0.63 |
0.93
|
ns/day |
1.47
|
|
| CHUTE | 8.52 sec | 38.25 |
49.19
|
tau/day |
1.29
|
|
| RHODO | 8.45 sec | 0.26 |
0.36
|
ns/day |
1.38
|
|
| LLVM Clang | Nov 20, 2024, 1:37:37 AM PST |
1.48
|
||||
| PyTorch | 395.20 sec | 562.76 |
379.78
|
sec |
1.48
|
|
| LuxCoreRender | Nov 20, 2024, 1:45:11 AM PST |
1.46
|
||||
| DLSC | 13.59 sec | 2.46 |
3.97
|
Msamples/sec |
1.61
|
|
| Food | 19.53 sec | 1.84 |
3.00
|
Msamples/sec |
1.63
|
|
| Danish Mood | 53.29 sec | 2.29 |
2.83
|
Msamples/sec |
1.24
|
|
| Procedural Leaves | 36.00 sec | 1.10 |
1.53
|
Msamples/sec |
1.39
|
|
| MFEM | Nov 20, 2024, 1:47:14 AM PST |
1.36
|
||||
| Dynamic AMR | 166.67 sec | 227.39 |
166.67
|
sec |
1.36
|
|
| NAMD | Nov 20, 2024, 1:50:01 AM PST |
1.37
|
||||
| apoa1 | 16.43 sec | 45.38 |
34.33
|
ms/step |
1.32
|
|
| f1atpase | 20.55 sec | 130.50 |
97.25
|
ms/step |
1.34
|
|
| stmv | 53.15 sec | 448.57 |
310.84
|
ms/step |
1.44
|
|
| Octave | Nov 20, 2024, 1:51:31 AM PST |
1.09
|
||||
| obench | 35.85 sec | 1.20 |
1.11
|
sec/operation |
1.08
|
|
| benchmark2 | 11.02 sec | 0.11 |
0.10
|
sec/operation |
1.10
|
|
| ONNX Inference | Nov 20, 2024, 1:52:27 AM PST |
2.62
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.36 sec | 63.72 |
49.77
|
ms |
1.28
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.53 sec | 18.33 |
20.52
|
inferences/sec |
1.12
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.98 sec | 18.33 |
18.71
|
inferences/sec |
1.02
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 |
28.38
|
ms |
0.79
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.67 sec | 46.62 |
40.14
|
inferences/sec |
0.86
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.76 sec | 46.62 |
52.61
|
inferences/sec |
1.13
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.18 sec | 58.42 |
50.64
|
ms |
1.15
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.07 sec | 20.87 |
25.59
|
inferences/sec |
1.23
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.66 sec | 20.87 |
21.13
|
inferences/sec |
1.01
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 |
22.62
|
ms |
0.94
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.45 sec | 55.92 |
64.38
|
inferences/sec |
1.15
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.65 sec | 55.92 |
59.38
|
inferences/sec |
1.06
|
|
| GPU ResNet50-FP32-batch32 Throughput | 22.55 sec | 3.92 |
45.66
|
inferences/sec |
11.60
|
|
| GPU ResNet50-FP32-batch32 Throughput | 20.62 sec | 3.92 |
45.70
|
inferences/sec |
11.70
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.70 sec | 1.92 |
80.37
|
inferences/sec |
41.90
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.70 sec | 1.92 |
80.24
|
inferences/sec |
41.80
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.49 sec | 6.59 |
35.98
|
inferences/sec |
5.46
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.50 sec | 6.59 |
36.10
|
inferences/sec |
5.48
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.47 sec | 1.92 |
38.93
|
inferences/sec |
20.30
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.47 sec | 1.92 |
38.83
|
inferences/sec |
20.20
|
|
| OpenFOAM | Nov 20, 2024, 1:59:28 AM PST |
6.77
|
||||
| XiFoam Solver | 143.31 sec | 803.27 |
131.44
|
sec |
6.11
|
|
| XiFoam Solver | 127.86 sec | 803.27 |
118.61
|
sec |
6.77
|
|
| Options Pricing | Nov 20, 2024, 2:04:03 AM PST |
1.06
|
||||
| Monte Carlo | 27.85 sec | 35137.48 |
37758.64
|
options/sec |
1.07
|
|
| Black-Scholes | 18.11 sec | 3389.63 |
3948.93
|
Moptions/sec |
1.17
|
|
| Binomial | 14.12 sec | 79377.62 |
74610.71
|
options/sec |
0.94
|
|
| Poisson | Nov 20, 2024, 2:05:03 AM PST |
1.30
|
||||
| Jacobi Rectangular Grid | 10.09 sec | 16.05 |
20.65
|
iterations/sec |
1.29
|
|
| Jacobi Rectangular Grid | 10.05 sec | 16.05 |
20.93
|
iterations/sec |
1.30
|
|
| Jacobi Square Grid | 10.18 sec | 6.19 |
8.07
|
iterations/sec |
1.30
|
|
| Jacobi Square Grid | 10.08 sec | 6.19 |
8.05
|
iterations/sec |
1.30
|
|
| Python 3 | Nov 20, 2024, 2:05:43 AM PST |
1.20
|
||||
| NumPy Create Matrix | 1.07 sec | 0.36 |
0.35
|
sec |
1.02
|
|
| NumPy Add Matrix | 4.96 sec | 4.44 |
4.30
|
sec |
1.03
|
|
| NumPy Multiply Matrix | 7.84 sec | 8.06 |
7.21
|
sec |
1.12
|
|
| NumPy Invert Matrix | 13.19 sec | 15.53 |
12.54
|
sec |
1.24
|
|
| NumPy Sin Matrix | 3.25 sec | 2.67 |
2.61
|
sec |
1.02
|
|
| Multi-Matrix | 49.25 sec | 65.50 |
48.71
|
sec |
1.34
|
|
| Rodinia CFD | Nov 20, 2024, 2:07:10 AM PST |
1.91
|
||||
| Pre-Euler | 33.02 sec | 138.14 |
263.63
|
iterations/sec |
1.91
|
|
| Rodinia Life Sciences | Nov 20, 2024, 2:07:43 AM PST |
1.41
|
||||
| Heart Wall | 10.93 sec | 0.69 |
0.93
|
fps |
1.34
|
|
| HotSpot | 6.37 sec | 8.55 |
5.25
|
sec |
1.63
|
|
| LavaMD | 10.55 sec | 0.07 |
0.10
|
iterations/sec |
1.40
|
|
| SRAD | 10.27 sec | 47.04 |
60.13
|
iterations/sec |
1.28
|
|
| SRMP | Nov 20, 2024, 2:08:22 AM PST |
1.13
|
||||
| 2D | 17.66 sec | 19.45 |
17.27
|
sec |
1.13
|
|
| Viewport Graphics | Nov 20, 2024, 2:08:40 AM PST |
8.96
|
||||
| 3dsmax | 126.74 sec | 15.96 |
202.01
|
fps |
12.70
|
|
| catia | 118.38 sec | 17.57 |
107.90
|
fps |
6.14
|
|
| creo | 127.39 sec | 48.42 |
207.00
|
fps |
4.28
|
|
| energy | 84.28 sec | 11.48 |
161.33
|
fps |
14.10
|
|
| maya | 98.58 sec | 62.09 |
454.13
|
fps |
7.31
|
|
| medical | 76.79 sec | 9.63 |
141.29
|
fps |
14.70
|
|
| solidworks | 73.99 sec | 42.90 |
394.60
|
fps |
9.20
|
|
| WPCstorage | Nov 20, 2024, 2:21:56 AM PST |
0.87
|
||||
| 3dsmax | 77.50 sec | 3299.42 |
2921.27
|
points |
0.89
|
|
| 7zip | 85.75 sec | 431.06 |
728.16
|
points |
1.69
|
|
| ccx | 12.61 sec | 1398.45 |
1149.57
|
points |
0.82
|
|
| cfd | 13.51 sec | 1921.51 |
1114.57
|
points |
0.58
|
|
| energy | 23.23 sec | 1547.93 |
1156.68
|
points |
0.75
|
|
| handbrake | 16.63 sec | 1897.99 |
1801.82
|
points |
0.95
|
|
| icePack | 74.57 sec | 1543.34 |
1013.73
|
points |
0.66
|
|
| maya | 72.32 sec | 2037.06 |
1390.06
|
points |
0.68
|
|
| MayaVenice | 31.57 sec | 472.63 |
517.30
|
points |
1.09
|
|
| MandE | 24.51 sec | 1625.72 |
1414.39
|
points |
0.87
|
|
| mcad | 72.07 sec | 2612.50 |
2495.13
|
points |
0.95
|
|
| mozillaVS | 31.57 sec | 7708.43 |
6017.98
|
points |
0.78
|
|
| namd | 17.48 sec | 1250.61 |
1375.84
|
points |
1.10
|
|
| proddev | 20.65 sec | 659.82 |
501.85
|
points |
0.76
|
System Configuration Details
MOTHERBOARD
Name: Model: Precision 7780
Version:
Manufacturer: Dell Inc.
Serial Number: /5R4KTT3/ /
BIOS: Dell Inc. 1.14.0
BIOS Version: DELL - 2 (2024-07-04)
PROCESSOR
CPU #1: 13th Gen Intel(R) Core(TM) i9-13950HX (2200MHz / 24C / 32T)
MEMORY
(DIMM A): 80AD000080AD HMCG78AGBSA092N (16.00 GB / 5600 MHz / DDR5)(DIMM B): 80AD000080AD HMCG78AGBSA092N (16.00 GB / 5600 MHz / DDR5)
Total Memory: 32.00 GB
STORAGE
Disk #1: Intel Raid 10 Volume (953.87 GB - SCSI)Partition 1: GPT: System (0.23 GB)
Partition 2: GPT: Basic Data (951.00 GB)
Partition 3: GPT: Unknown (1.04 GB)
Partition 4: GPT: Unknown (1.47 GB)
Available Volumes
C: (OS): NTFS (587.57 GB of 951.00 GB Available)
NETWORK
Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: 00:A5:54:A6:56:03 | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (22) I219-LM
Type: Ethernet 802.3 | MAC: 88:88:88:88:87:88 | Speed: Not Connected
Adapter #3: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 00:A5:54:A6:56:07 | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 5000 Ada Generation Laptop GPUVideo Memory: 15.99 GB
Current Resolution: Unknown
Driver Version: 31.0.15.5286 (2024-07-22)
Adapter #2: Intel(R) UHD Graphics
Video Memory: 0.13 GB
Current Resolution: 3840x2160 @ 119 Hz (32-bit Color)
Driver Version: 31.0.101.5522 (2024-05-11)
DISPLAY
Display #1: AUO Internal Display 17.1" (3840x2160)Model: 97A2 | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
BATTERY
Battery #1 (Sys. Battery Bay): P/N: DELL 965V427 | Mfg: BYD:SIGN CORPORATION | Charge Level: 100%
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4317 (Release 2009)
Installation Date: 2024-04-30
Free Memory: 23.22 GB (Physical) | 24.42 GB (Virtual) | 2.00 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: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)