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 3590 |
| CPU | Intel(R) Core(TM) Ultra 7 165H |
| Memory | 64.00 GB @ 5600 MHz |
| GPU | 1x NVIDIA RTX 500 Ada Generation Laptop GPU 1x Intel(R) Arc(TM) Graphics |
| Display | Internal Display 15.3" (1920x1080) |
| Storage | NVMe PM9A1 NVMe Samsung 1024GB 953.86 GB - SCSI |
| OS | Microsoft Windows 11 Pro (22631) |
Submission Details
| Result Date | Tue Nov 19 2024 12:34:28 GMT-0800 (Pacific Standard Time) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
1.11 |
Energy |
1.09 |
Financial Services |
0.54 |
Life Sciences |
1.06 |
Media & Entertainment |
1.12 |
Product Design |
1.26 |
Productivity & Development |
0.99 |
Hardware Subsystem Scores
| CPU | 0.85 |
| Accelerator | 2.75 |
| Graphics | 2.68 |
| Storage | 1.15 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 2.20 |
| Autodesk Inventor | 0.86 |
| Blender | 0.90 |
| Convolution | 0.63 |
| Data Science | 1.08 |
| HandBrake | 1.14 |
| Hidden Line Removal | 0.86 |
| LAMMPS | 0.83 |
| LLVM Clang | 0.62 |
| LuxCoreRender | 0.62 |
| MFEM | 0.83 |
| NAMD | 0.54 |
| Octave | 0.92 |
| ONNX Inference | 1.14 |
| OpenFOAM | 4.84 |
| Options Pricing | 0.54 |
| Poisson | 1.32 |
| Python 3 | 0.70 |
| Rodinia CFD | 0.68 |
| Rodinia Life Sciences | 0.65 |
| SRMP | 0.53 |
| Viewport Graphics | 2.68 |
| WPCstorage | 1.15 |
Industry Vertical Scores
| AI & Machine Learning | 1.11 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
131.14
|
sec |
1.01
|
| Scikit-learn | 449.17 |
415.76
|
sec |
1.08
|
| XGBoost | 91.50 |
78.77
|
sec |
1.16
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
102.56
|
ms |
0.62
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
9.23
|
inferences/sec |
0.50
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
36.09
|
ms |
0.62
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
28.02
|
inferences/sec |
0.60
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
109.03
|
ms |
0.54
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
11.68
|
inferences/sec |
0.56
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
35.56
|
ms |
0.60
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
33.88
|
inferences/sec |
0.61
|
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
10.25
|
inferences/sec |
2.62
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
20.89
|
inferences/sec |
10.90
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
12.66
|
inferences/sec |
1.92
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
13.14
|
inferences/sec |
6.84
|
Industry Vertical Scores
| Energy | 1.09 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.06
|
iterations/sec |
0.63
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
22.14
|
iterations/sec |
1.38
|
| Jacobi Square Grid | 6.19 |
7.88
|
iterations/sec |
1.27
|
| SRMP |
|
|||
| 2D | 19.45 |
36.50
|
sec |
0.53
|
| Viewport Graphics |
|
|||
| energy | 11.48 |
38.02
|
fps |
3.31
|
| WPCstorage |
|
|||
| energy | 1547.93 |
1646.60
|
points |
1.06
|
Industry Vertical Scores
| Financial Services | 0.54 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
19340.50
|
options/sec |
0.55
|
| Black-Scholes | 3389.63 |
2021.99
|
Moptions/sec |
0.60
|
| Binomial | 79377.62 |
37112.78
|
options/sec |
0.47
|
Industry Vertical Scores
| Life Sciences | 1.06 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
566.15
|
tau/day |
0.80
|
| CHAIN | 1190.35 |
1237.43
|
tau/day |
1.04
|
| EAM | 0.63 |
0.49
|
ns/day |
0.77
|
| CHUTE | 38.25 |
41.18
|
tau/day |
1.08
|
| RHODO | 0.26 |
0.15
|
ns/day |
0.56
|
| NAMD |
|
|||
| apoa1 | 45.38 |
91.67
|
ms/step |
0.49
|
| f1atpase | 130.50 |
244.18
|
ms/step |
0.53
|
| stmv | 448.57 |
767.83
|
ms/step |
0.58
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
0.56
|
fps |
0.81
|
| HotSpot | 8.55 |
16.61
|
sec |
0.52
|
| LavaMD | 0.07 |
0.05
|
iterations/sec |
0.71
|
| SRAD | 47.04 |
27.77
|
iterations/sec |
0.59
|
| Viewport Graphics |
|
|||
| medical | 9.63 |
42.30
|
fps |
4.39
|
| WPCstorage |
|
|||
| namd | 1250.61 |
1337.24
|
points |
1.07
|
Industry Vertical Scores
| Media & Entertainment | 1.12 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
134.36
|
sec |
2.10
|
| BMW27 | 43.82 |
68.46
|
sec |
0.64
|
| BMW1M | 17.74 |
25.85
|
sec |
0.69
|
| Island | 29.68 |
42.03
|
sec |
0.71
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
260.57
|
sec |
0.75
|
| x265 4K to 1080p | 38.36 |
59.04
|
sec |
0.65
|
| x265 4K to 4K | 107.73 |
158.77
|
sec |
0.68
|
| x264 1080p to 1080p | 49.98 |
21.91
|
sec |
2.28
|
| GPU H.265 4K to 4K | 169.65 |
219.56
|
fps |
1.29
|
| GPU H.265 4K to 1080p | 128.84 |
293.48
|
fps |
2.28
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
1.76
|
Msamples/sec |
0.71
|
| Food | 1.84 |
1.25
|
Msamples/sec |
0.68
|
| Danish Mood | 2.29 |
1.25
|
Msamples/sec |
0.55
|
| Procedural Leaves | 1.10 |
0.63
|
Msamples/sec |
0.57
|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
43.51
|
fps |
2.73
|
| maya | 62.09 |
151.80
|
fps |
2.44
|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
3991.21
|
points |
1.21
|
| handbrake | 1897.99 |
2275.99
|
points |
1.20
|
| maya | 2037.06 |
2230.19
|
points |
1.09
|
| MayaVenice | 472.63 |
490.37
|
points |
1.04
|
| MandE | 1625.72 |
1507.49
|
points |
0.93
|
Industry Vertical Scores
| Product Design | 1.26 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
5248.00
|
ms |
0.81
|
| Create/Update Files | 4973.68 |
5720.00
|
ms |
0.87
|
| Rebuild | 10590.28 |
12093.00
|
ms |
0.88
|
| Render Style/Material | 628.78 |
712.00
|
ms |
0.88
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
21.00
|
fps |
0.86
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
274.04
|
sec |
0.83
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
165.89
|
sec |
4.84
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
93.70
|
iterations/sec |
0.68
|
| Viewport Graphics |
|
|||
| catia | 17.57 |
36.60
|
fps |
2.08
|
| creo | 48.42 |
87.20
|
fps |
1.80
|
| solidworks | 42.90 |
118.40
|
fps |
2.76
|
| WPCstorage |
|
|||
| ccx | 1398.45 |
1991.43
|
points |
1.42
|
| cfd | 1921.51 |
1948.62
|
points |
1.01
|
| icePack | 1543.34 |
1921.01
|
points |
1.24
|
| mcad | 2612.50 |
3832.65
|
points |
1.47
|
| proddev | 659.82 |
562.23
|
points |
0.85
|
Industry Vertical Scores
| Productivity & Development | 0.99 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
19.19
|
sec |
0.84
|
| Compression | 254.57 |
76.72
|
sec |
3.32
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
902.72
|
sec |
0.62
|
| Octave |
|
|||
| obench | 1.20 |
1.30
|
sec/operation |
0.93
|
| benchmark2 | 0.11 |
0.12
|
sec/operation |
0.91
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.43
|
sec |
0.84
|
| NumPy Add Matrix | 4.44 |
4.94
|
sec |
0.90
|
| NumPy Multiply Matrix | 8.06 |
12.32
|
sec |
0.65
|
| NumPy Invert Matrix | 15.53 |
21.42
|
sec |
0.72
|
| NumPy Sin Matrix | 2.67 |
3.19
|
sec |
0.84
|
| Multi-Matrix | 65.50 |
103.92
|
sec |
0.63
|
| WPCstorage |
|
|||
| 7zip | 431.06 |
529.97
|
points |
1.23
|
| mozillaVS | 7708.43 |
11353.10
|
points |
1.47
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
2.75
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| HandBrake |
|
|||
| GPU H.265 4K to 4K | 169.65 |
219.56
|
fps |
1.29
|
| GPU H.265 4K to 1080p | 128.84 |
293.48
|
fps |
2.28
|
| ONNX Inference |
|
|||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
10.25
|
inferences/sec |
2.62
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
20.89
|
inferences/sec |
10.90
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
12.66
|
inferences/sec |
1.92
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
13.14
|
inferences/sec |
6.84
|
0.85
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
19.19
|
sec |
0.84
|
| Compression | 254.57 |
76.72
|
sec |
3.32
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
5248.00
|
ms |
0.81
|
| Create/Update Files | 4973.68 |
5720.00
|
ms |
0.87
|
| Rebuild | 10590.28 |
12093.00
|
ms |
0.88
|
| Render Style/Material | 628.78 |
712.00
|
ms |
0.88
|
| Blender |
|
|||
| Classroom | 281.72 |
134.36
|
sec |
2.10
|
| BMW27 | 43.82 |
68.46
|
sec |
0.64
|
| BMW1M | 17.74 |
25.85
|
sec |
0.69
|
| Island | 29.68 |
42.03
|
sec |
0.71
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.06
|
iterations/sec |
0.63
|
| Data Science |
|
|||
| Pandas | 131.99 |
131.14
|
sec |
1.01
|
| Scikit-learn | 449.17 |
415.76
|
sec |
1.08
|
| XGBoost | 91.50 |
78.77
|
sec |
1.16
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
260.57
|
sec |
0.75
|
| x265 4K to 1080p | 38.36 |
59.04
|
sec |
0.65
|
| x265 4K to 4K | 107.73 |
158.77
|
sec |
0.68
|
| x264 1080p to 1080p | 49.98 |
21.91
|
sec |
2.28
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
21.00
|
fps |
0.86
|
| LAMMPS |
|
|||
| LJ | 705.82 |
566.15
|
tau/day |
0.80
|
| CHAIN | 1190.35 |
1237.43
|
tau/day |
1.04
|
| EAM | 0.63 |
0.49
|
ns/day |
0.77
|
| CHUTE | 38.25 |
41.18
|
tau/day |
1.08
|
| RHODO | 0.26 |
0.15
|
ns/day |
0.56
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
902.72
|
sec |
0.62
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
1.76
|
Msamples/sec |
0.71
|
| Food | 1.84 |
1.25
|
Msamples/sec |
0.68
|
| Danish Mood | 2.29 |
1.25
|
Msamples/sec |
0.55
|
| Procedural Leaves | 1.10 |
0.63
|
Msamples/sec |
0.57
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
274.04
|
sec |
0.83
|
| NAMD |
|
|||
| apoa1 | 45.38 |
91.67
|
ms/step |
0.49
|
| f1atpase | 130.50 |
244.18
|
ms/step |
0.53
|
| stmv | 448.57 |
767.83
|
ms/step |
0.58
|
| Octave |
|
|||
| obench | 1.20 |
1.30
|
sec/operation |
0.93
|
| benchmark2 | 0.11 |
0.12
|
sec/operation |
0.91
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
102.56
|
ms |
0.62
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
9.23
|
inferences/sec |
0.50
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
36.09
|
ms |
0.62
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
28.02
|
inferences/sec |
0.60
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
109.03
|
ms |
0.54
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
11.68
|
inferences/sec |
0.56
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
35.56
|
ms |
0.60
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
33.88
|
inferences/sec |
0.61
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
165.89
|
sec |
4.84
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
19340.50
|
options/sec |
0.55
|
| Black-Scholes | 3389.63 |
2021.99
|
Moptions/sec |
0.60
|
| Binomial | 79377.62 |
37112.78
|
options/sec |
0.47
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
22.14
|
iterations/sec |
1.38
|
| Jacobi Square Grid | 6.19 |
7.88
|
iterations/sec |
1.27
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.43
|
sec |
0.84
|
| NumPy Add Matrix | 4.44 |
4.94
|
sec |
0.90
|
| NumPy Multiply Matrix | 8.06 |
12.32
|
sec |
0.65
|
| NumPy Invert Matrix | 15.53 |
21.42
|
sec |
0.72
|
| NumPy Sin Matrix | 2.67 |
3.19
|
sec |
0.84
|
| Multi-Matrix | 65.50 |
103.92
|
sec |
0.63
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
93.70
|
iterations/sec |
0.68
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
0.56
|
fps |
0.81
|
| HotSpot | 8.55 |
16.61
|
sec |
0.52
|
| LavaMD | 0.07 |
0.05
|
iterations/sec |
0.71
|
| SRAD | 47.04 |
27.77
|
iterations/sec |
0.59
|
| SRMP |
|
|||
| 2D | 19.45 |
36.50
|
sec |
0.53
|
2.68
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
43.51
|
fps |
2.73
|
| catia | 17.57 |
36.60
|
fps |
2.08
|
| creo | 48.42 |
87.20
|
fps |
1.80
|
| energy | 11.48 |
38.02
|
fps |
3.31
|
| maya | 62.09 |
151.80
|
fps |
2.44
|
| medical | 9.63 |
42.30
|
fps |
4.39
|
| solidworks | 42.90 |
118.40
|
fps |
2.76
|
1.15
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
3991.21
|
points |
1.21
|
| 7zip | 431.06 |
529.97
|
points |
1.23
|
| ccx | 1398.45 |
1991.43
|
points |
1.42
|
| cfd | 1921.51 |
1948.62
|
points |
1.01
|
| energy | 1547.93 |
1646.60
|
points |
1.06
|
| handbrake | 1897.99 |
2275.99
|
points |
1.20
|
| icePack | 1543.34 |
1921.01
|
points |
1.24
|
| maya | 2037.06 |
2230.19
|
points |
1.09
|
| MayaVenice | 472.63 |
490.37
|
points |
1.04
|
| MandE | 1625.72 |
1507.49
|
points |
0.93
|
| mcad | 2612.50 |
3832.65
|
points |
1.47
|
| mozillaVS | 7708.43 |
11353.10
|
points |
1.47
|
| namd | 1250.61 |
1337.24
|
points |
1.07
|
| proddev | 659.82 |
562.23
|
points |
0.85
|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2024, 12:34:28 PM PST |
2.20
|
||||
| Decompression | 19.19 sec | 16.04 |
19.19
|
sec |
0.84
|
|
| Compression | 76.72 sec | 254.57 |
76.72
|
sec |
3.32
|
|
| Autodesk Inventor | Nov 19, 2024, 12:36:14 PM PST |
0.86
|
||||
| Open Document | 5.48 sec | 4253.73 |
5248.00
|
ms |
0.81
|
|
| Create/Update Files | 7.55 sec | 4973.68 |
5720.00
|
ms |
0.87
|
|
| Rebuild | 12.32 sec | 10590.28 |
12093.00
|
ms |
0.88
|
|
| Render Style/Material | 0.94 sec | 628.78 |
712.00
|
ms |
0.88
|
|
| Blender | Nov 19, 2024, 12:37:08 PM PST |
0.90
|
||||
| Classroom | 134.36 sec | 281.72 |
134.36
|
sec |
2.10
|
|
| BMW27 | 68.46 sec | 43.82 |
68.46
|
sec |
0.64
|
|
| BMW1M | 25.85 sec | 17.74 |
25.85
|
sec |
0.69
|
|
| Island | 42.03 sec | 29.68 |
42.03
|
sec |
0.71
|
|
| Convolution | Nov 19, 2024, 12:41:44 PM PST |
0.63
|
||||
| 20K/100 | 37.50 sec | 0.09 |
0.06
|
iterations/sec |
0.63
|
|
| Data Science | Nov 19, 2024, 12:42:21 PM PST |
1.08
|
||||
| Pandas | 134.95 sec | 131.99 |
131.14
|
sec |
1.01
|
|
| Scikit-learn | 420.79 sec | 449.17 |
415.76
|
sec |
1.08
|
|
| XGBoost | 103.89 sec | 91.50 |
78.77
|
sec |
1.16
|
|
| HandBrake | Nov 19, 2024, 12:53:40 PM PST |
1.14
|
||||
| SVT-AV1 8K to 4K | 260.57 sec | 195.16 |
260.57
|
sec |
0.75
|
|
| x265 4K to 1080p | 61.52 sec | 38.36 |
59.04
|
sec |
0.65
|
|
| x265 4K to 4K | 161.22 sec | 107.73 |
158.77
|
sec |
0.68
|
|
| x264 1080p to 1080p | 21.91 sec | 49.98 |
21.91
|
sec |
2.28
|
|
| GPU H.265 4K to 4K | 100.03 sec | 169.65 |
136.05
|
fps |
0.80
|
|
| GPU H.265 4K to 4K | 80.24 sec | 169.65 |
219.56
|
fps |
1.29
|
|
| GPU H.265 4K to 1080p | 262.44 sec | 128.84 |
163.54
|
fps |
1.27
|
|
| GPU H.265 4K to 1080p | 249.35 sec | 128.84 |
293.48
|
fps |
2.28
|
|
| Hidden Line Removal | Nov 19, 2024, 1:13:45 PM PST |
0.86
|
||||
| Palatov | 18.83 sec | 24.29 |
21.00
|
fps |
0.86
|
|
| Palatov | 18.75 sec | 24.29 |
19.73
|
fps |
0.81
|
|
| LAMMPS | Nov 19, 2024, 1:14:24 PM PST |
0.83
|
||||
| LJ | 27.12 sec | 705.82 |
566.15
|
tau/day |
0.80
|
|
| CHAIN | 20.85 sec | 1190.35 |
1237.43
|
tau/day |
1.04
|
|
| EAM | 28.81 sec | 0.63 |
0.49
|
ns/day |
0.77
|
|
| CHUTE | 10.83 sec | 38.25 |
41.18
|
tau/day |
1.08
|
|
| RHODO | 19.17 sec | 0.26 |
0.15
|
ns/day |
0.56
|
|
| LLVM Clang | Nov 19, 2024, 1:16:11 PM PST |
0.62
|
||||
| PyTorch | 930.51 sec | 562.76 |
902.72
|
sec |
0.62
|
|
| LuxCoreRender | Nov 19, 2024, 1:32:55 PM PST |
0.62
|
||||
| DLSC | 26.67 sec | 2.46 |
1.76
|
Msamples/sec |
0.71
|
|
| Food | 39.41 sec | 1.84 |
1.25
|
Msamples/sec |
0.68
|
|
| Danish Mood | 117.45 sec | 2.29 |
1.25
|
Msamples/sec |
0.55
|
|
| Procedural Leaves | 85.77 sec | 1.10 |
0.63
|
Msamples/sec |
0.57
|
|
| MFEM | Nov 19, 2024, 1:37:24 PM PST |
0.83
|
||||
| Dynamic AMR | 274.04 sec | 227.39 |
274.04
|
sec |
0.83
|
|
| NAMD | Nov 19, 2024, 1:41:59 PM PST |
0.54
|
||||
| apoa1 | 25.41 sec | 45.38 |
91.67
|
ms/step |
0.49
|
|
| f1atpase | 54.69 sec | 130.50 |
244.18
|
ms/step |
0.53
|
|
| stmv | 77.47 sec | 448.57 |
767.83
|
ms/step |
0.58
|
|
| Octave | Nov 19, 2024, 1:44:36 PM PST |
0.92
|
||||
| obench | 40.29 sec | 1.20 |
1.30
|
sec/operation |
0.93
|
|
| benchmark2 | 11.37 sec | 0.11 |
0.12
|
sec/operation |
0.91
|
|
| ONNX Inference | Nov 19, 2024, 1:45:42 PM PST |
1.14
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.64 sec | 63.72 |
102.56
|
ms |
0.62
|
|
| CPU ResNet50-FP32-batch8 Throughput | 22.15 sec | 18.33 |
9.23
|
inferences/sec |
0.50
|
|
| CPU ResNet50-FP32-batch8 Throughput | 22.83 sec | 18.33 |
9.00
|
inferences/sec |
0.49
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.22 sec | 22.37 |
36.09
|
ms |
0.62
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.74 sec | 46.62 |
27.40
|
inferences/sec |
0.59
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.91 sec | 46.62 |
28.02
|
inferences/sec |
0.60
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.25 sec | 58.42 |
109.03
|
ms |
0.54
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.49 sec | 20.87 |
11.68
|
inferences/sec |
0.56
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 22.32 sec | 20.87 |
10.75
|
inferences/sec |
0.52
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.14 sec | 21.34 |
35.56
|
ms |
0.60
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.59 sec | 55.92 |
33.88
|
inferences/sec |
0.61
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.91 sec | 55.92 |
32.10
|
inferences/sec |
0.57
|
|
| GPU ResNet50-FP32-batch32 Throughput | 22.70 sec | 3.92 |
10.25
|
inferences/sec |
2.62
|
|
| GPU ResNet50-FP32-batch32 Throughput | 20.89 sec | 3.92 |
10.21
|
inferences/sec |
2.61
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.78 sec | 1.92 |
20.89
|
inferences/sec |
10.90
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.77 sec | 1.92 |
20.52
|
inferences/sec |
10.70
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 20.89 sec | 6.59 |
10.39
|
inferences/sec |
1.58
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 20.96 sec | 6.59 |
12.66
|
inferences/sec |
1.92
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.87 sec | 1.92 |
13.14
|
inferences/sec |
6.84
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.90 sec | 1.92 |
12.82
|
inferences/sec |
6.68
|
|
| OpenFOAM | Nov 19, 2024, 1:52:46 PM PST |
4.84
|
||||
| XiFoam Solver | 342.21 sec | 803.27 |
324.10
|
sec |
2.48
|
|
| XiFoam Solver | 176.99 sec | 803.27 |
165.89
|
sec |
4.84
|
|
| Options Pricing | Nov 19, 2024, 2:01:31 PM PST |
0.54
|
||||
| Monte Carlo | 54.32 sec | 35137.48 |
19340.50
|
options/sec |
0.55
|
|
| Black-Scholes | 34.21 sec | 3389.63 |
2021.99
|
Moptions/sec |
0.60
|
|
| Binomial | 28.34 sec | 79377.62 |
37112.78
|
options/sec |
0.47
|
|
| Poisson | Nov 19, 2024, 2:03:28 PM PST |
1.32
|
||||
| Jacobi Rectangular Grid | 10.26 sec | 16.05 |
5.38
|
iterations/sec |
0.34
|
|
| Jacobi Rectangular Grid | 10.10 sec | 16.05 |
22.14
|
iterations/sec |
1.38
|
|
| Jacobi Square Grid | 10.32 sec | 6.19 |
3.98
|
iterations/sec |
0.64
|
|
| Jacobi Square Grid | 10.18 sec | 6.19 |
7.88
|
iterations/sec |
1.27
|
|
| Python 3 | Nov 19, 2024, 2:04:09 PM PST |
0.70
|
||||
| NumPy Create Matrix | 1.50 sec | 0.36 |
0.43
|
sec |
0.84
|
|
| NumPy Add Matrix | 5.95 sec | 4.44 |
4.94
|
sec |
0.90
|
|
| NumPy Multiply Matrix | 13.36 sec | 8.06 |
12.32
|
sec |
0.65
|
|
| NumPy Invert Matrix | 22.45 sec | 15.53 |
21.42
|
sec |
0.72
|
|
| NumPy Sin Matrix | 4.16 sec | 2.67 |
3.19
|
sec |
0.84
|
|
| Multi-Matrix | 104.99 sec | 65.50 |
103.92
|
sec |
0.63
|
|
| Rodinia CFD | Nov 19, 2024, 2:06:52 PM PST |
0.68
|
||||
| Pre-Euler | 33.54 sec | 138.14 |
93.70
|
iterations/sec |
0.68
|
|
| Rodinia Life Sciences | Nov 19, 2024, 2:07:26 PM PST |
0.65
|
||||
| Heart Wall | 10.87 sec | 0.69 |
0.56
|
fps |
0.81
|
|
| HotSpot | 17.89 sec | 8.55 |
16.61
|
sec |
0.52
|
|
| LavaMD | 20.49 sec | 0.07 |
0.05
|
iterations/sec |
0.71
|
|
| SRAD | 10.30 sec | 47.04 |
27.77
|
iterations/sec |
0.59
|
|
| SRMP | Nov 19, 2024, 2:08:26 PM PST |
0.53
|
||||
| 2D | 37.01 sec | 19.45 |
36.50
|
sec |
0.53
|
|
| Viewport Graphics | Nov 19, 2024, 2:09:03 PM PST |
2.68
|
||||
| 3dsmax | 147.89 sec | 15.96 |
43.51
|
fps |
2.73
|
|
| catia | 138.31 sec | 17.57 |
36.60
|
fps |
2.08
|
|
| creo | 153.70 sec | 48.42 |
87.20
|
fps |
1.80
|
|
| energy | 94.98 sec | 11.48 |
38.02
|
fps |
3.31
|
|
| maya | 124.03 sec | 62.09 |
151.80
|
fps |
2.44
|
|
| medical | 90.12 sec | 9.63 |
42.30
|
fps |
4.39
|
|
| solidworks | 90.64 sec | 42.90 |
118.40
|
fps |
2.76
|
|
| WPCstorage | Nov 19, 2024, 2:24:45 PM PST |
1.15
|
||||
| 3dsmax | 54.06 sec | 3299.42 |
3991.21
|
points |
1.21
|
|
| 7zip | 50.95 sec | 431.06 |
529.97
|
points |
1.23
|
|
| ccx | 12.82 sec | 1398.45 |
1991.43
|
points |
1.42
|
|
| cfd | 13.40 sec | 1921.51 |
1948.62
|
points |
1.01
|
|
| energy | 21.72 sec | 1547.93 |
1646.60
|
points |
1.06
|
|
| handbrake | 16.76 sec | 1897.99 |
2275.99
|
points |
1.20
|
|
| icePack | 55.27 sec | 1543.34 |
1921.01
|
points |
1.24
|
|
| maya | 54.40 sec | 2037.06 |
2230.19
|
points |
1.09
|
|
| MayaVenice | 32.81 sec | 472.63 |
490.37
|
points |
1.04
|
|
| MandE | 20.82 sec | 1625.72 |
1507.49
|
points |
0.93
|
|
| mcad | 56.52 sec | 2612.50 |
3832.65
|
points |
1.47
|
|
| mozillaVS | 28.48 sec | 7708.43 |
11353.10
|
points |
1.47
|
|
| namd | 17.68 sec | 1250.61 |
1337.24
|
points |
1.07
|
|
| proddev | 20.77 sec | 659.82 |
562.23
|
points |
0.85
|
System Configuration Details
MOTHERBOARD
Name: 0U401AModel: Precision 3590
Version: D00
Manufacturer: Dell Inc.
Serial Number: /WGNQP1V/910024030002DW/
BIOS: Dell Inc. 1.8.0
BIOS Version: DELL - 2 (2024-09-09)
PROCESSOR
CPU #1: Intel(R) Core(TM) Ultra 7 165H (1400MHz / 16C / 22T)
MEMORY
(DIMM 2): 80AD00000000 HMCG88AGBSA095N (32.00 GB / 5600 MHz / DDR5)(DIMM 1): 80AD00000000 HMCG88AGBSA095N (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: NVMe PM9A1 NVMe Samsung 1024GB (953.86 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (950.77 GB)
Partition 3: GPT: Unknown (1.20 GB)
Partition 4: GPT: Unknown (1.56 GB)
Available Volumes
C: (OS): NTFS (578.69 GB of 950.77 GB Available)
NETWORK
Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: 60:45:2E:24:A9:87 | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (18) I219-LM
Type: Ethernet 802.3 | MAC: 28:00:AF:AA:90:EA | Speed: Not Connected
Adapter #3: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 60:45:2E:24:A9:8B | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 500 Ada Generation Laptop GPUVideo Memory: 4.00 GB
Current Resolution: Unknown
Driver Version: 31.0.15.5274 (2024-06-23)
Adapter #2: Intel(R) Arc(TM) Graphics
Video Memory: 0.13 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 31.0.101.5382 (2024-03-26)
DISPLAY
Display #1: AUO Internal Display 15.3" (1920x1080)Model: 6092 | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
BATTERY
Battery #1 (Sys. Battery Bay): P/N: DELL 2X1V93A5 | Mfg: COMTROL CORPORATION | Charge Level: 100%
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4317 (Release 2009)
Installation Date: 2024-03-07
Free Memory: 53.36 GB (Physical) | 56.56 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: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)