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 7875 Tower |
| CPU | AMD Ryzen Threadripper PRO 7995WX 96-Cores |
| Memory | 128.00 GB @ 5200 MHz |
| GPU | AMD Radeon PRO W7900 |
| Display | DELL P2719HC 27.2" (1920x1080) |
| Storage | Drive 1: Micron 2450 NVMe 256GB 238.47 GB - SCSI Drive 2: WDC WD10EZEX-75WN4A1 931.51 GB - IDE |
| OS | Microsoft Windows 11 Pro (22616) |
Submission Details
| Result Date | Tue Nov 19 2024 13:24:42 GMT-0800 (Pacific Standard Time) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
3.21 |
Energy |
5.37 |
Financial Services |
7.19 |
Life Sciences |
4.64 |
Media & Entertainment |
3.73 |
Product Design |
3.04 |
Productivity & Development |
1.45 |
Hardware Subsystem Scores
| CPU | 4.07 |
| Accelerator | 6.18 |
| Graphics | 11.78 |
| Storage | 0.41 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 3.93 |
| Autodesk Inventor | 0.97 |
| Blender | 5.69 |
| Convolution | 6.85 |
| Data Science | 2.10 |
| HandBrake | 2.65 |
| Hidden Line Removal | 2.13 |
| LAMMPS | 4.74 |
| LLVM Clang | 5.24 |
| LuxCoreRender | 6.32 |
| MFEM | 4.54 |
| NAMD | 5.37 |
| Octave | 1.13 |
| ONNX Inference | 4.92 |
| OpenFOAM | 34.80 |
| Options Pricing | 7.19 |
| Poisson | 13.90 |
| Python 3 | 1.53 |
| Rodinia CFD | 3.43 |
| Rodinia Life Sciences | 7.53 |
| SRMP | 4.05 |
| Viewport Graphics | 11.80 |
| WPCstorage | 0.41 |
Industry Vertical Scores
| AI & Machine Learning | 3.21 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
123.27
|
sec |
1.07
|
| Scikit-learn | 449.17 |
79.93
|
sec |
5.62
|
| XGBoost | 91.50 |
59.38
|
sec |
1.54
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
24.76
|
ms |
2.57
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
85.51
|
inferences/sec |
4.67
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
14.17
|
ms |
1.58
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
241.61
|
inferences/sec |
5.18
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
38.26
|
ms |
1.53
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
123.23
|
inferences/sec |
5.90
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
25.84
|
ms |
0.83
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
136.13
|
inferences/sec |
2.43
|
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
61.65
|
inferences/sec |
15.70
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
84.15
|
inferences/sec |
43.80
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
61.08
|
inferences/sec |
9.27
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
33.74
|
inferences/sec |
17.60
|
Industry Vertical Scores
| Energy | 5.37 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.62
|
iterations/sec |
6.85
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
389.90
|
iterations/sec |
24.30
|
| Jacobi Square Grid | 6.19 |
49.19
|
iterations/sec |
7.95
|
| SRMP |
|
|||
| 2D | 19.45 |
4.80
|
sec |
4.05
|
| Viewport Graphics |
|
|||
| energy | 11.48 |
227.54
|
fps |
19.80
|
| WPCstorage |
|
|||
| energy | 1547.93 |
908.23
|
points |
0.59
|
Industry Vertical Scores
| Financial Services | 7.19 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
280363.28
|
options/sec |
7.98
|
| Black-Scholes | 3389.63 |
26469.12
|
Moptions/sec |
7.81
|
| Binomial | 79377.62 |
473481.09
|
options/sec |
5.96
|
Industry Vertical Scores
| Life Sciences | 4.64 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
3912.77
|
tau/day |
5.54
|
| CHAIN | 1190.35 |
4950.29
|
tau/day |
4.16
|
| EAM | 0.63 |
4.30
|
ns/day |
6.82
|
| CHUTE | 38.25 |
113.43
|
tau/day |
2.97
|
| RHODO | 0.26 |
1.32
|
ns/day |
5.10
|
| NAMD |
|
|||
| apoa1 | 45.38 |
8.41
|
ms/step |
5.40
|
| f1atpase | 130.50 |
24.57
|
ms/step |
5.31
|
| stmv | 448.57 |
83.13
|
ms/step |
5.40
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
4.70
|
fps |
6.82
|
| HotSpot | 8.55 |
1.56
|
sec |
5.48
|
| LavaMD | 0.07 |
0.58
|
iterations/sec |
8.27
|
| SRAD | 47.04 |
487.06
|
iterations/sec |
10.40
|
| Viewport Graphics |
|
|||
| medical | 9.63 |
185.31
|
fps |
19.20
|
| WPCstorage |
|
|||
| namd | 1250.61 |
734.49
|
points |
0.59
|
Industry Vertical Scores
| Media & Entertainment | 3.73 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
13.78
|
sec |
20.40
|
| BMW27 | 43.82 |
7.04
|
sec |
6.22
|
| BMW1M | 17.74 |
3.19
|
sec |
5.57
|
| Island | 29.68 |
20.03
|
sec |
1.48
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
93.95
|
sec |
2.08
|
| x265 4K to 1080p | 38.36 |
18.54
|
sec |
2.07
|
| x265 4K to 4K | 107.73 |
41.11
|
sec |
2.62
|
| x264 1080p to 1080p | 49.98 |
7.13
|
sec |
7.01
|
| GPU H.265 4K to 4K | 169.65 |
156.48
|
fps |
0.92
|
| GPU H.265 4K to 1080p | 128.84 |
609.64
|
fps |
4.73
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
17.93
|
Msamples/sec |
7.29
|
| Food | 1.84 |
13.65
|
Msamples/sec |
7.42
|
| Danish Mood | 2.29 |
9.63
|
Msamples/sec |
4.21
|
| Procedural Leaves | 1.10 |
7.70
|
Msamples/sec |
7.00
|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
274.31
|
fps |
17.20
|
| maya | 62.09 |
696.51
|
fps |
11.20
|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
1815.22
|
points |
0.55
|
| handbrake | 1897.99 |
1097.46
|
points |
0.58
|
| maya | 2037.06 |
529.82
|
points |
0.26
|
| MayaVenice | 472.63 |
383.80
|
points |
0.81
|
| MandE | 1625.72 |
1153.28
|
points |
0.71
|
Industry Vertical Scores
| Product Design | 3.04 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
4973.00
|
ms |
0.85
|
| Create/Update Files | 4973.68 |
5276.00
|
ms |
0.94
|
| Rebuild | 10590.28 |
10777.00
|
ms |
0.98
|
| Render Style/Material | 628.78 |
573.00
|
ms |
1.10
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
51.73
|
fps |
2.13
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
50.13
|
sec |
4.54
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
23.10
|
sec |
34.80
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
474.37
|
iterations/sec |
3.43
|
| Viewport Graphics |
|
|||
| catia | 17.57 |
111.42
|
fps |
6.34
|
| creo | 48.42 |
232.84
|
fps |
4.81
|
| solidworks | 42.90 |
606.76
|
fps |
14.10
|
| WPCstorage |
|
|||
| ccx | 1398.45 |
80.27
|
points |
0.06
|
| cfd | 1921.51 |
838.76
|
points |
0.44
|
| icePack | 1543.34 |
848.14
|
points |
0.55
|
| mcad | 2612.50 |
1356.98
|
points |
0.52
|
| proddev | 659.82 |
172.96
|
points |
0.26
|
Industry Vertical Scores
| Productivity & Development | 1.45 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
18.10
|
sec |
0.89
|
| Compression | 254.57 |
34.15
|
sec |
7.45
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
107.34
|
sec |
5.24
|
| Octave |
|
|||
| obench | 1.20 |
1.05
|
sec/operation |
1.14
|
| benchmark2 | 0.11 |
0.10
|
sec/operation |
1.13
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.37
|
sec |
0.98
|
| NumPy Add Matrix | 4.44 |
4.89
|
sec |
0.91
|
| NumPy Multiply Matrix | 8.06 |
6.55
|
sec |
1.23
|
| NumPy Invert Matrix | 15.53 |
10.41
|
sec |
1.49
|
| NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
| Multi-Matrix | 65.50 |
30.49
|
sec |
2.15
|
| WPCstorage |
|
|||
| 7zip | 431.06 |
154.91
|
points |
0.36
|
| mozillaVS | 7708.43 |
2478.46
|
points |
0.32
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.18
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| HandBrake |
|
|||
| GPU H.265 4K to 4K | 169.65 |
156.48
|
fps |
0.92
|
| GPU H.265 4K to 1080p | 128.84 |
609.64
|
fps |
4.73
|
| ONNX Inference |
|
|||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
61.65
|
inferences/sec |
15.70
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
84.15
|
inferences/sec |
43.80
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
61.08
|
inferences/sec |
9.27
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
33.74
|
inferences/sec |
17.60
|
4.07
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
18.10
|
sec |
0.89
|
| Compression | 254.57 |
34.15
|
sec |
7.45
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
4973.00
|
ms |
0.85
|
| Create/Update Files | 4973.68 |
5276.00
|
ms |
0.94
|
| Rebuild | 10590.28 |
10777.00
|
ms |
0.98
|
| Render Style/Material | 628.78 |
573.00
|
ms |
1.10
|
| Blender |
|
|||
| Classroom | 281.72 |
13.78
|
sec |
20.40
|
| BMW27 | 43.82 |
7.04
|
sec |
6.22
|
| BMW1M | 17.74 |
3.19
|
sec |
5.57
|
| Island | 29.68 |
20.03
|
sec |
1.48
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.62
|
iterations/sec |
6.85
|
| Data Science |
|
|||
| Pandas | 131.99 |
123.27
|
sec |
1.07
|
| Scikit-learn | 449.17 |
79.93
|
sec |
5.62
|
| XGBoost | 91.50 |
59.38
|
sec |
1.54
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
93.95
|
sec |
2.08
|
| x265 4K to 1080p | 38.36 |
18.54
|
sec |
2.07
|
| x265 4K to 4K | 107.73 |
41.11
|
sec |
2.62
|
| x264 1080p to 1080p | 49.98 |
7.13
|
sec |
7.01
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
51.73
|
fps |
2.13
|
| LAMMPS |
|
|||
| LJ | 705.82 |
3912.77
|
tau/day |
5.54
|
| CHAIN | 1190.35 |
4950.29
|
tau/day |
4.16
|
| EAM | 0.63 |
4.30
|
ns/day |
6.82
|
| CHUTE | 38.25 |
113.43
|
tau/day |
2.97
|
| RHODO | 0.26 |
1.32
|
ns/day |
5.10
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
107.34
|
sec |
5.24
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
17.93
|
Msamples/sec |
7.29
|
| Food | 1.84 |
13.65
|
Msamples/sec |
7.42
|
| Danish Mood | 2.29 |
9.63
|
Msamples/sec |
4.21
|
| Procedural Leaves | 1.10 |
7.70
|
Msamples/sec |
7.00
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
50.13
|
sec |
4.54
|
| NAMD |
|
|||
| apoa1 | 45.38 |
8.41
|
ms/step |
5.40
|
| f1atpase | 130.50 |
24.57
|
ms/step |
5.31
|
| stmv | 448.57 |
83.13
|
ms/step |
5.40
|
| Octave |
|
|||
| obench | 1.20 |
1.05
|
sec/operation |
1.14
|
| benchmark2 | 0.11 |
0.10
|
sec/operation |
1.13
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
24.76
|
ms |
2.57
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
85.51
|
inferences/sec |
4.67
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
14.17
|
ms |
1.58
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
241.61
|
inferences/sec |
5.18
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
38.26
|
ms |
1.53
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
123.23
|
inferences/sec |
5.90
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
25.84
|
ms |
0.83
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
136.13
|
inferences/sec |
2.43
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
23.10
|
sec |
34.80
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
280363.28
|
options/sec |
7.98
|
| Black-Scholes | 3389.63 |
26469.12
|
Moptions/sec |
7.81
|
| Binomial | 79377.62 |
473481.09
|
options/sec |
5.96
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
389.90
|
iterations/sec |
24.30
|
| Jacobi Square Grid | 6.19 |
49.19
|
iterations/sec |
7.95
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.37
|
sec |
0.98
|
| NumPy Add Matrix | 4.44 |
4.89
|
sec |
0.91
|
| NumPy Multiply Matrix | 8.06 |
6.55
|
sec |
1.23
|
| NumPy Invert Matrix | 15.53 |
10.41
|
sec |
1.49
|
| NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
| Multi-Matrix | 65.50 |
30.49
|
sec |
2.15
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
474.37
|
iterations/sec |
3.43
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
4.70
|
fps |
6.82
|
| HotSpot | 8.55 |
1.56
|
sec |
5.48
|
| LavaMD | 0.07 |
0.58
|
iterations/sec |
8.27
|
| SRAD | 47.04 |
487.06
|
iterations/sec |
10.40
|
| SRMP |
|
|||
| 2D | 19.45 |
4.80
|
sec |
4.05
|
11.78
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
274.31
|
fps |
17.20
|
| catia | 17.57 |
111.42
|
fps |
6.34
|
| creo | 48.42 |
232.84
|
fps |
4.81
|
| energy | 11.48 |
227.54
|
fps |
19.80
|
| maya | 62.09 |
696.51
|
fps |
11.20
|
| medical | 9.63 |
185.31
|
fps |
19.20
|
| solidworks | 42.90 |
606.76
|
fps |
14.10
|
0.41
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
1815.22
|
points |
0.55
|
| 7zip | 431.06 |
154.91
|
points |
0.36
|
| ccx | 1398.45 |
80.27
|
points |
0.06
|
| cfd | 1921.51 |
838.76
|
points |
0.44
|
| energy | 1547.93 |
908.23
|
points |
0.59
|
| handbrake | 1897.99 |
1097.46
|
points |
0.58
|
| icePack | 1543.34 |
848.14
|
points |
0.55
|
| maya | 2037.06 |
529.82
|
points |
0.26
|
| MayaVenice | 472.63 |
383.80
|
points |
0.81
|
| MandE | 1625.72 |
1153.28
|
points |
0.71
|
| mcad | 2612.50 |
1356.98
|
points |
0.52
|
| mozillaVS | 7708.43 |
2478.46
|
points |
0.32
|
| namd | 1250.61 |
734.49
|
points |
0.59
|
| proddev | 659.82 |
172.96
|
points |
0.26
|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Nov 19, 2024, 1:24:42 PM PST |
3.93
|
||||
| Decompression | 18.10 sec | 16.04 |
18.10
|
sec |
0.89
|
|
| Compression | 34.15 sec | 254.57 |
34.15
|
sec |
7.45
|
|
| Autodesk Inventor | Nov 19, 2024, 1:25:39 PM PST |
0.97
|
||||
| Open Document | 5.18 sec | 4253.73 |
4973.00
|
ms |
0.85
|
|
| Create/Update Files | 7.06 sec | 4973.68 |
5276.00
|
ms |
0.94
|
|
| Rebuild | 10.99 sec | 10590.28 |
10777.00
|
ms |
0.98
|
|
| Render Style/Material | 0.79 sec | 628.78 |
573.00
|
ms |
1.10
|
|
| Blender | Nov 19, 2024, 1:26:29 PM PST |
5.69
|
||||
| Classroom | 13.78 sec | 281.72 |
13.78
|
sec |
20.40
|
|
| BMW27 | 7.04 sec | 43.82 |
7.04
|
sec |
6.22
|
|
| BMW1M | 3.19 sec | 17.74 |
3.19
|
sec |
5.57
|
|
| Island | 20.03 sec | 29.68 |
20.03
|
sec |
1.48
|
|
| Convolution | Nov 19, 2024, 1:27:18 PM PST |
6.85
|
||||
| 20K/100 | 32.77 sec | 0.09 |
0.62
|
iterations/sec |
6.85
|
|
| Data Science | Nov 19, 2024, 1:27:51 PM PST |
2.10
|
||||
| Pandas | 128.56 sec | 131.99 |
123.27
|
sec |
1.07
|
|
| Scikit-learn | 84.21 sec | 449.17 |
79.93
|
sec |
5.62
|
|
| XGBoost | 81.52 sec | 91.50 |
59.38
|
sec |
1.54
|
|
| HandBrake | Nov 19, 2024, 1:33:02 PM PST |
2.65
|
||||
| SVT-AV1 8K to 4K | 93.95 sec | 195.16 |
93.95
|
sec |
2.08
|
|
| x265 4K to 1080p | 20.02 sec | 38.36 |
18.54
|
sec |
2.07
|
|
| x265 4K to 4K | 42.65 sec | 107.73 |
41.11
|
sec |
2.62
|
|
| x264 1080p to 1080p | 7.13 sec | 49.98 |
7.13
|
sec |
7.01
|
|
| GPU H.265 4K to 4K | 43.78 sec | 169.65 |
156.48
|
fps |
0.92
|
|
| GPU H.265 4K to 1080p | 193.55 sec | 128.84 |
609.64
|
fps |
4.73
|
|
| Hidden Line Removal | Nov 19, 2024, 1:39:49 PM PST |
2.13
|
||||
| Palatov | 17.23 sec | 24.29 |
48.09
|
fps |
1.98
|
|
| Palatov | 17.34 sec | 24.29 |
51.73
|
fps |
2.13
|
|
| LAMMPS | Nov 19, 2024, 1:40:25 PM PST |
4.74
|
||||
| LJ | 5.89 sec | 705.82 |
3912.77
|
tau/day |
5.54
|
|
| CHAIN | 11.58 sec | 1190.35 |
4950.29
|
tau/day |
4.16
|
|
| EAM | 4.62 sec | 0.63 |
4.30
|
ns/day |
6.82
|
|
| CHUTE | 5.76 sec | 38.25 |
113.43
|
tau/day |
2.97
|
|
| RHODO | 5.86 sec | 0.26 |
1.32
|
ns/day |
5.10
|
|
| LLVM Clang | Nov 19, 2024, 1:40:59 PM PST |
5.24
|
||||
| PyTorch | 132.52 sec | 562.76 |
107.34
|
sec |
5.24
|
|
| LuxCoreRender | Nov 19, 2024, 1:44:23 PM PST |
6.32
|
||||
| DLSC | 5.07 sec | 2.46 |
17.93
|
Msamples/sec |
7.29
|
|
| Food | 9.34 sec | 1.84 |
13.65
|
Msamples/sec |
7.42
|
|
| Danish Mood | 17.62 sec | 2.29 |
9.63
|
Msamples/sec |
4.21
|
|
| Procedural Leaves | 8.40 sec | 1.10 |
7.70
|
Msamples/sec |
7.00
|
|
| MFEM | Nov 19, 2024, 1:45:03 PM PST |
4.54
|
||||
| Dynamic AMR | 50.13 sec | 227.39 |
50.13
|
sec |
4.54
|
|
| NAMD | Nov 19, 2024, 1:45:54 PM PST |
5.37
|
||||
| apoa1 | 14.00 sec | 45.38 |
8.41
|
ms/step |
5.40
|
|
| f1atpase | 20.17 sec | 130.50 |
24.57
|
ms/step |
5.31
|
|
| stmv | 38.50 sec | 448.57 |
83.13
|
ms/step |
5.40
|
|
| Octave | Nov 19, 2024, 1:47:06 PM PST |
1.13
|
||||
| obench | 43.83 sec | 1.20 |
1.05
|
sec/operation |
1.14
|
|
| benchmark2 | 11.76 sec | 0.11 |
0.10
|
sec/operation |
1.13
|
|
| ONNX Inference | Nov 19, 2024, 1:48:14 PM PST |
4.92
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.28 sec | 63.72 |
24.76
|
ms |
2.57
|
|
| CPU ResNet50-FP32-batch8 Throughput | 22.69 sec | 18.33 |
65.91
|
inferences/sec |
3.60
|
|
| CPU ResNet50-FP32-batch8 Throughput | 22.78 sec | 18.33 |
85.51
|
inferences/sec |
4.67
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 |
14.17
|
ms |
1.58
|
|
| CPU ResNet50-INT8-batch8 Throughput | 21.00 sec | 46.62 |
196.30
|
inferences/sec |
4.21
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.96 sec | 46.62 |
241.61
|
inferences/sec |
5.18
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 |
38.26
|
ms |
1.53
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.81 sec | 20.87 |
123.23
|
inferences/sec |
5.90
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 22.74 sec | 20.87 |
71.21
|
inferences/sec |
3.41
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.15 sec | 21.34 |
25.84
|
ms |
0.83
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.38 sec | 55.92 |
136.13
|
inferences/sec |
2.43
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.48 sec | 55.92 |
131.56
|
inferences/sec |
2.35
|
|
| GPU ResNet50-FP32-batch32 Throughput | 20.40 sec | 3.92 |
61.65
|
inferences/sec |
15.70
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.57 sec | 1.92 |
84.15
|
inferences/sec |
43.80
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.52 sec | 6.59 |
61.08
|
inferences/sec |
9.27
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 20.89 sec | 1.92 |
33.74
|
inferences/sec |
17.60
|
|
| OpenFOAM | Nov 19, 2024, 1:53:54 PM PST |
34.80
|
||||
| XiFoam Solver | 46.41 sec | 803.27 |
28.73
|
sec |
28.00
|
|
| XiFoam Solver | 35.24 sec | 803.27 |
23.10
|
sec |
34.80
|
|
| Options Pricing | Nov 19, 2024, 1:55:20 PM PST |
7.19
|
||||
| Monte Carlo | 3.83 sec | 35137.48 |
280363.28
|
options/sec |
7.98
|
|
| Black-Scholes | 4.04 sec | 3389.63 |
26469.12
|
Moptions/sec |
7.81
|
|
| Binomial | 2.29 sec | 79377.62 |
473481.09
|
options/sec |
5.96
|
|
| Poisson | Nov 19, 2024, 1:55:30 PM PST |
13.90
|
||||
| Jacobi Rectangular Grid | 10.11 sec | 16.05 |
389.90
|
iterations/sec |
24.30
|
|
| Jacobi Rectangular Grid | 10.06 sec | 16.05 |
331.31
|
iterations/sec |
20.60
|
|
| Jacobi Square Grid | 10.11 sec | 6.19 |
49.19
|
iterations/sec |
7.95
|
|
| Jacobi Square Grid | 10.10 sec | 6.19 |
24.12
|
iterations/sec |
3.90
|
|
| Python 3 | Nov 19, 2024, 1:56:10 PM PST |
1.53
|
||||
| NumPy Create Matrix | 1.31 sec | 0.36 |
0.37
|
sec |
0.98
|
|
| NumPy Add Matrix | 5.60 sec | 4.44 |
4.89
|
sec |
0.91
|
|
| NumPy Multiply Matrix | 7.28 sec | 8.06 |
6.55
|
sec |
1.23
|
|
| NumPy Invert Matrix | 11.15 sec | 15.53 |
10.41
|
sec |
1.49
|
|
| NumPy Sin Matrix | 3.56 sec | 2.67 |
2.83
|
sec |
0.94
|
|
| Multi-Matrix | 31.17 sec | 65.50 |
30.49
|
sec |
2.15
|
|
| Rodinia CFD | Nov 19, 2024, 1:57:20 PM PST |
3.43
|
||||
| Pre-Euler | 33.28 sec | 138.14 |
474.37
|
iterations/sec |
3.43
|
|
| Rodinia Life Sciences | Nov 19, 2024, 1:57:54 PM PST |
7.53
|
||||
| Heart Wall | 10.43 sec | 0.69 |
4.70
|
fps |
6.82
|
|
| HotSpot | 2.80 sec | 8.55 |
1.56
|
sec |
5.48
|
|
| LavaMD | 10.78 sec | 0.07 |
0.58
|
iterations/sec |
8.27
|
|
| SRAD | 10.28 sec | 47.04 |
487.06
|
iterations/sec |
10.40
|
|
| SRMP | Nov 19, 2024, 1:58:28 PM PST |
4.05
|
||||
| 2D | 5.20 sec | 19.45 |
4.80
|
sec |
4.05
|
|
| Viewport Graphics | Nov 19, 2024, 1:58:34 PM PST |
11.80
|
||||
| 3dsmax | 120.91 sec | 15.96 |
274.31
|
fps |
17.20
|
|
| catia | 116.52 sec | 17.57 |
111.42
|
fps |
6.34
|
|
| creo | 121.06 sec | 48.42 |
232.84
|
fps |
4.81
|
|
| energy | 100.57 sec | 11.48 |
227.54
|
fps |
19.80
|
|
| maya | 88.44 sec | 62.09 |
696.51
|
fps |
11.20
|
|
| medical | 81.15 sec | 9.63 |
185.31
|
fps |
19.20
|
|
| solidworks | 77.97 sec | 42.90 |
606.76
|
fps |
14.10
|
|
| WPCstorage | Nov 19, 2024, 2:11:45 PM PST |
0.41
|
||||
| 3dsmax | 90.83 sec | 3299.42 |
1815.22
|
points |
0.55
|
|
| 7zip | 146.79 sec | 431.06 |
154.91
|
points |
0.36
|
|
| ccx | 16.90 sec | 1398.45 |
80.27
|
points |
0.06
|
|
| cfd | 14.35 sec | 1921.51 |
838.76
|
points |
0.44
|
|
| energy | 26.68 sec | 1547.93 |
908.23
|
points |
0.59
|
|
| handbrake | 18.73 sec | 1897.99 |
1097.46
|
points |
0.58
|
|
| icePack | 82.72 sec | 1543.34 |
848.14
|
points |
0.55
|
|
| maya | 151.71 sec | 2037.06 |
529.82
|
points |
0.26
|
|
| MayaVenice | 38.98 sec | 472.63 |
383.80
|
points |
0.81
|
|
| MandE | 26.45 sec | 1625.72 |
1153.28
|
points |
0.71
|
|
| mcad | 106.34 sec | 2612.50 |
1356.98
|
points |
0.52
|
|
| mozillaVS | 44.56 sec | 7708.43 |
2478.46
|
points |
0.32
|
|
| namd | 23.00 sec | 1250.61 |
734.49
|
points |
0.59
|
|
| proddev | 27.20 sec | 659.82 |
172.96
|
points |
0.26
|
System Configuration Details
MOTHERBOARD
Name: 00RP38Model: Precision 7875 Tower
Version: X02
Manufacturer: Dell Inc.
Serial Number: /7875T24/CNFCW00362006T/
BIOS: Dell Inc. 1.0.0
BIOS Version: DELL - 0 (2023-09-08)
PROCESSOR
CPU #1: AMD Ryzen Threadripper PRO 7995WX 96-Cores (2501MHz / 96C / 192T)
MEMORY
P0 CHANNEL A (DIMM 1): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)P0 CHANNEL C (DIMM 3): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
P0 CHANNEL E (DIMM 2): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
P0 CHANNEL G (DIMM 4): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
Total Memory: 128.00 GB
STORAGE
Disk #1: Micron 2450 NVMe 256GB (238.47 GB - SCSI)Partition 1: GPT: System (0.10 GB)
Partition 2: GPT: Basic Data (237.82 GB)
Partition 3: GPT: Unknown (0.54 GB)
Disk #2: WDC WD10EZEX-75WN4A1 (931.51 GB - IDE)
Partition 1: GPT: Basic Data (931.50 GB)
Available Volumes
C: (): NTFS (103.71 GB of 237.82 GB Available)
D: (): (0.00 GB of 0.00 GB Available)
E: (New Volume): NTFS (931.36 GB of 931.50 GB Available)
NETWORK
Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 00:BE:43:BE:2F:44 | Speed: Not Connected
Adapter #2: Marvell AQtion 10Gbit Network Adapter #2
Type: Ethernet 802.3 | MAC: 00:BE:43:BE:2F:45 | Speed: Not Connected
GRAPHICS
Adapter #1: AMD Radeon PRO W7900Video Memory: 47.98 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
DISPLAY
Display #1: DELL INC. DELL P2719HC 27.2" (1920x1080)Model: 4187 | S/N: FNSF5N2 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22616.1 (Release 2009)
Installation Date: 2023-06-28
Free Memory: 119.93 GB (Physical) | 125.24 GB (Virtual) | 8.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Not Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)