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 | HP |
| Model | HP Z6 G5 A Workstation Desktop PC |
| CPU | AMD Ryzen Threadripper PRO 7975WX 32-Cores |
| Memory | 128.00 GB @ 5200 MHz |
| GPU | NVIDIA RTX 5000 Ada Generation |
| Display | HP Z27k G3 27.2" (3840x2160) |
| Storage | Drive 1: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI Drive 2: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI |
| OS | Microsoft Windows 11 Pro (22631) |
Submission Details
| Result Date | Thu Nov 21 2024 13:48:10 GMT-0700 (Mountain Standard Time) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
3.26 |
Energy |
4.35 |
Financial Services |
4.17 |
Life Sciences |
4.13 |
Media & Entertainment |
3.34 |
Product Design |
3.13 |
Productivity & Development |
1.76 |
Hardware Subsystem Scores
| CPU | 3.08 |
| Accelerator | 6.17 |
| Graphics | 12.08 |
| Storage | 1.05 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 4.09 |
| Autodesk Inventor | 0.98 |
| Blender | 3.63 |
| Convolution | 3.42 |
| Data Science | 1.94 |
| HandBrake | 2.49 |
| Hidden Line Removal | 2.08 |
| LAMMPS | 4.27 |
| LLVM Clang | 3.09 |
| LuxCoreRender | 3.62 |
| MFEM | 3.33 |
| NAMD | 3.41 |
| Octave | 1.20 |
| ONNX Inference | 5.48 |
| OpenFOAM | 22.20 |
| Options Pricing | 4.17 |
| Poisson | 7.38 |
| Python 3 | 1.61 |
| Rodinia CFD | 2.31 |
| Rodinia Life Sciences | 3.82 |
| SRMP | 3.17 |
| Viewport Graphics | 12.10 |
| WPCstorage | 1.05 |
Industry Vertical Scores
| AI & Machine Learning | 3.26 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
119.50
|
sec |
1.10
|
| Scikit-learn | 449.17 |
109.64
|
sec |
4.10
|
| XGBoost | 91.50 |
56.64
|
sec |
1.62
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
22.00
|
ms |
2.90
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
64.45
|
inferences/sec |
3.52
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
10.42
|
ms |
2.15
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
205.06
|
inferences/sec |
4.40
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
37.62
|
ms |
1.55
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
86.34
|
inferences/sec |
4.14
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
19.44
|
ms |
1.10
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
237.78
|
inferences/sec |
4.25
|
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
64.84
|
inferences/sec |
16.50
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
127.68
|
inferences/sec |
66.50
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
48.16
|
inferences/sec |
7.31
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
60.34
|
inferences/sec |
31.40
|
Industry Vertical Scores
| Energy | 4.35 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.31
|
iterations/sec |
3.42
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
160.82
|
iterations/sec |
10.00
|
| Jacobi Square Grid | 6.19 |
33.74
|
iterations/sec |
5.45
|
| SRMP |
|
|||
| 2D | 19.45 |
6.13
|
sec |
3.17
|
| Viewport Graphics |
|
|||
| energy | 11.48 |
257.75
|
fps |
22.50
|
| WPCstorage |
|
|||
| energy | 1547.93 |
1338.30
|
points |
0.86
|
Industry Vertical Scores
| Financial Services | 4.17 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
159299.12
|
options/sec |
4.53
|
| Black-Scholes | 3389.63 |
15555.17
|
Moptions/sec |
4.59
|
| Binomial | 79377.62 |
276315.36
|
options/sec |
3.48
|
Industry Vertical Scores
| Life Sciences | 4.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
3115.29
|
tau/day |
4.41
|
| CHAIN | 1190.35 |
5806.69
|
tau/day |
4.88
|
| EAM | 0.63 |
2.63
|
ns/day |
4.17
|
| CHUTE | 38.25 |
157.45
|
tau/day |
4.12
|
| RHODO | 0.26 |
1.00
|
ns/day |
3.84
|
| NAMD |
|
|||
| apoa1 | 45.38 |
13.71
|
ms/step |
3.31
|
| f1atpase | 130.50 |
38.96
|
ms/step |
3.35
|
| stmv | 448.57 |
124.94
|
ms/step |
3.59
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
2.48
|
fps |
3.60
|
| HotSpot | 8.55 |
2.83
|
sec |
3.02
|
| LavaMD | 0.07 |
0.29
|
iterations/sec |
4.21
|
| SRAD | 47.04 |
217.67
|
iterations/sec |
4.63
|
| Viewport Graphics |
|
|||
| medical | 9.63 |
199.19
|
fps |
20.70
|
| WPCstorage |
|
|||
| namd | 1250.61 |
1295.12
|
points |
1.04
|
Industry Vertical Scores
| Media & Entertainment | 3.34 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
25.28
|
sec |
11.10
|
| BMW27 | 43.82 |
13.02
|
sec |
3.36
|
| BMW1M | 17.74 |
5.16
|
sec |
3.44
|
| Island | 29.68 |
21.80
|
sec |
1.36
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
92.09
|
sec |
2.12
|
| x265 4K to 1080p | 38.36 |
18.39
|
sec |
2.09
|
| x265 4K to 4K | 107.73 |
40.31
|
sec |
2.67
|
| x264 1080p to 1080p | 49.98 |
7.26
|
sec |
6.88
|
| GPU H.265 4K to 4K | 169.65 |
133.86
|
fps |
0.79
|
| GPU H.265 4K to 1080p | 128.84 |
473.43
|
fps |
3.67
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
9.31
|
Msamples/sec |
3.78
|
| Food | 1.84 |
7.20
|
Msamples/sec |
3.91
|
| Danish Mood | 2.29 |
7.15
|
Msamples/sec |
3.12
|
| Procedural Leaves | 1.10 |
4.10
|
Msamples/sec |
3.73
|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
254.03
|
fps |
15.90
|
| maya | 62.09 |
606.70
|
fps |
9.77
|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
3894.27
|
points |
1.18
|
| handbrake | 1897.99 |
1970.75
|
points |
1.04
|
| maya | 2037.06 |
2154.26
|
points |
1.06
|
| MayaVenice | 472.63 |
460.56
|
points |
0.97
|
| MandE | 1625.72 |
1457.55
|
points |
0.90
|
Industry Vertical Scores
| Product Design | 3.13 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
4569.00
|
ms |
0.93
|
| Create/Update Files | 4973.68 |
5122.00
|
ms |
0.97
|
| Rebuild | 10590.28 |
10391.00
|
ms |
1.02
|
| Render Style/Material | 628.78 |
627.00
|
ms |
1.00
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
50.64
|
fps |
2.08
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
68.34
|
sec |
3.33
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
36.15
|
sec |
22.20
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
318.73
|
iterations/sec |
2.31
|
| Viewport Graphics |
|
|||
| catia | 17.57 |
143.42
|
fps |
8.16
|
| creo | 48.42 |
227.38
|
fps |
4.70
|
| solidworks | 42.90 |
578.14
|
fps |
13.50
|
| WPCstorage |
|
|||
| ccx | 1398.45 |
1866.54
|
points |
1.33
|
| cfd | 1921.51 |
1648.21
|
points |
0.86
|
| icePack | 1543.34 |
1622.72
|
points |
1.05
|
| mcad | 2612.50 |
3486.95
|
points |
1.33
|
| proddev | 659.82 |
558.85
|
points |
0.85
|
Industry Vertical Scores
| Productivity & Development | 1.76 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
14.32
|
sec |
1.12
|
| Compression | 254.57 |
35.74
|
sec |
7.12
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
181.99
|
sec |
3.09
|
| Octave |
|
|||
| obench | 1.20 |
0.97
|
sec/operation |
1.24
|
| benchmark2 | 0.11 |
0.09
|
sec/operation |
1.17
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.40
|
sec |
0.91
|
| NumPy Add Matrix | 4.44 |
4.69
|
sec |
0.95
|
| NumPy Multiply Matrix | 8.06 |
4.91
|
sec |
1.64
|
| NumPy Invert Matrix | 15.53 |
8.34
|
sec |
1.86
|
| NumPy Sin Matrix | 2.67 |
2.75
|
sec |
0.97
|
| Multi-Matrix | 65.50 |
30.26
|
sec |
2.16
|
| WPCstorage |
|
|||
| 7zip | 431.06 |
504.29
|
points |
1.17
|
| mozillaVS | 7708.43 |
9582.70
|
points |
1.24
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.17
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| HandBrake |
|
|||
| GPU H.265 4K to 4K | 169.65 |
133.86
|
fps |
0.79
|
| GPU H.265 4K to 1080p | 128.84 |
473.43
|
fps |
3.67
|
| ONNX Inference |
|
|||
| GPU ResNet50-FP32-batch32 Throughput | 3.92 |
64.84
|
inferences/sec |
16.50
|
| GPU ResNet50-INT8-batch32 Throughput | 1.92 |
127.68
|
inferences/sec |
66.50
|
| GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
48.16
|
inferences/sec |
7.31
|
| GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
60.34
|
inferences/sec |
31.40
|
3.08
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
14.32
|
sec |
1.12
|
| Compression | 254.57 |
35.74
|
sec |
7.12
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
4569.00
|
ms |
0.93
|
| Create/Update Files | 4973.68 |
5122.00
|
ms |
0.97
|
| Rebuild | 10590.28 |
10391.00
|
ms |
1.02
|
| Render Style/Material | 628.78 |
627.00
|
ms |
1.00
|
| Blender |
|
|||
| Classroom | 281.72 |
25.28
|
sec |
11.10
|
| BMW27 | 43.82 |
13.02
|
sec |
3.36
|
| BMW1M | 17.74 |
5.16
|
sec |
3.44
|
| Island | 29.68 |
21.80
|
sec |
1.36
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.31
|
iterations/sec |
3.42
|
| Data Science |
|
|||
| Pandas | 131.99 |
119.50
|
sec |
1.10
|
| Scikit-learn | 449.17 |
109.64
|
sec |
4.10
|
| XGBoost | 91.50 |
56.64
|
sec |
1.62
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
92.09
|
sec |
2.12
|
| x265 4K to 1080p | 38.36 |
18.39
|
sec |
2.09
|
| x265 4K to 4K | 107.73 |
40.31
|
sec |
2.67
|
| x264 1080p to 1080p | 49.98 |
7.26
|
sec |
6.88
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
50.64
|
fps |
2.08
|
| LAMMPS |
|
|||
| LJ | 705.82 |
3115.29
|
tau/day |
4.41
|
| CHAIN | 1190.35 |
5806.69
|
tau/day |
4.88
|
| EAM | 0.63 |
2.63
|
ns/day |
4.17
|
| CHUTE | 38.25 |
157.45
|
tau/day |
4.12
|
| RHODO | 0.26 |
1.00
|
ns/day |
3.84
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
181.99
|
sec |
3.09
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
9.31
|
Msamples/sec |
3.78
|
| Food | 1.84 |
7.20
|
Msamples/sec |
3.91
|
| Danish Mood | 2.29 |
7.15
|
Msamples/sec |
3.12
|
| Procedural Leaves | 1.10 |
4.10
|
Msamples/sec |
3.73
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
68.34
|
sec |
3.33
|
| NAMD |
|
|||
| apoa1 | 45.38 |
13.71
|
ms/step |
3.31
|
| f1atpase | 130.50 |
38.96
|
ms/step |
3.35
|
| stmv | 448.57 |
124.94
|
ms/step |
3.59
|
| Octave |
|
|||
| obench | 1.20 |
0.97
|
sec/operation |
1.24
|
| benchmark2 | 0.11 |
0.09
|
sec/operation |
1.17
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
22.00
|
ms |
2.90
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
64.45
|
inferences/sec |
3.52
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
10.42
|
ms |
2.15
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
205.06
|
inferences/sec |
4.40
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
37.62
|
ms |
1.55
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
86.34
|
inferences/sec |
4.14
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
19.44
|
ms |
1.10
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
237.78
|
inferences/sec |
4.25
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
36.15
|
sec |
22.20
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
159299.12
|
options/sec |
4.53
|
| Black-Scholes | 3389.63 |
15555.17
|
Moptions/sec |
4.59
|
| Binomial | 79377.62 |
276315.36
|
options/sec |
3.48
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
160.82
|
iterations/sec |
10.00
|
| Jacobi Square Grid | 6.19 |
33.74
|
iterations/sec |
5.45
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.40
|
sec |
0.91
|
| NumPy Add Matrix | 4.44 |
4.69
|
sec |
0.95
|
| NumPy Multiply Matrix | 8.06 |
4.91
|
sec |
1.64
|
| NumPy Invert Matrix | 15.53 |
8.34
|
sec |
1.86
|
| NumPy Sin Matrix | 2.67 |
2.75
|
sec |
0.97
|
| Multi-Matrix | 65.50 |
30.26
|
sec |
2.16
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
318.73
|
iterations/sec |
2.31
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
2.48
|
fps |
3.60
|
| HotSpot | 8.55 |
2.83
|
sec |
3.02
|
| LavaMD | 0.07 |
0.29
|
iterations/sec |
4.21
|
| SRAD | 47.04 |
217.67
|
iterations/sec |
4.63
|
| SRMP |
|
|||
| 2D | 19.45 |
6.13
|
sec |
3.17
|
12.08
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Viewport Graphics |
|
|||
| 3dsmax | 15.96 |
254.03
|
fps |
15.90
|
| catia | 17.57 |
143.42
|
fps |
8.16
|
| creo | 48.42 |
227.38
|
fps |
4.70
|
| energy | 11.48 |
257.75
|
fps |
22.50
|
| maya | 62.09 |
606.70
|
fps |
9.77
|
| medical | 9.63 |
199.19
|
fps |
20.70
|
| solidworks | 42.90 |
578.14
|
fps |
13.50
|
1.05
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| WPCstorage |
|
|||
| 3dsmax | 3299.42 |
3894.27
|
points |
1.18
|
| 7zip | 431.06 |
504.29
|
points |
1.17
|
| ccx | 1398.45 |
1866.54
|
points |
1.33
|
| cfd | 1921.51 |
1648.21
|
points |
0.86
|
| energy | 1547.93 |
1338.30
|
points |
0.86
|
| handbrake | 1897.99 |
1970.75
|
points |
1.04
|
| icePack | 1543.34 |
1622.72
|
points |
1.05
|
| maya | 2037.06 |
2154.26
|
points |
1.06
|
| MayaVenice | 472.63 |
460.56
|
points |
0.97
|
| MandE | 1625.72 |
1457.55
|
points |
0.90
|
| mcad | 2612.50 |
3486.95
|
points |
1.33
|
| mozillaVS | 7708.43 |
9582.70
|
points |
1.24
|
| namd | 1250.61 |
1295.12
|
points |
1.04
|
| proddev | 659.82 |
558.85
|
points |
0.85
|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Nov 21, 2024, 1:48:10 PM MST |
4.09
|
||||
| Decompression | 14.32 sec | 16.04 |
14.32
|
sec |
1.12
|
|
| Compression | 35.74 sec | 254.57 |
35.74
|
sec |
7.12
|
|
| Autodesk Inventor | Nov 21, 2024, 1:49:07 PM MST |
0.98
|
||||
| Open Document | 4.78 sec | 4253.73 |
4569.00
|
ms |
0.93
|
|
| Create/Update Files | 6.91 sec | 4973.68 |
5122.00
|
ms |
0.97
|
|
| Rebuild | 10.60 sec | 10590.28 |
10391.00
|
ms |
1.02
|
|
| Render Style/Material | 0.84 sec | 628.78 |
627.00
|
ms |
1.00
|
|
| Blender | Nov 21, 2024, 1:50:05 PM MST |
3.63
|
||||
| Classroom | 25.28 sec | 281.72 |
25.28
|
sec |
11.10
|
|
| BMW27 | 13.02 sec | 43.82 |
13.02
|
sec |
3.36
|
|
| BMW1M | 5.16 sec | 17.74 |
5.16
|
sec |
3.44
|
|
| Island | 21.80 sec | 29.68 |
21.80
|
sec |
1.36
|
|
| Convolution | Nov 21, 2024, 1:51:15 PM MST |
3.42
|
||||
| 20K/100 | 34.32 sec | 0.09 |
0.31
|
iterations/sec |
3.42
|
|
| Data Science | Nov 21, 2024, 1:51:49 PM MST |
1.94
|
||||
| Pandas | 129.25 sec | 131.99 |
119.50
|
sec |
1.10
|
|
| Scikit-learn | 114.05 sec | 449.17 |
109.64
|
sec |
4.10
|
|
| XGBoost | 78.07 sec | 91.50 |
56.64
|
sec |
1.62
|
|
| HandBrake | Nov 21, 2024, 1:57:25 PM MST |
2.49
|
||||
| SVT-AV1 8K to 4K | 92.09 sec | 195.16 |
92.09
|
sec |
2.12
|
|
| x265 4K to 1080p | 19.80 sec | 38.36 |
18.39
|
sec |
2.09
|
|
| x265 4K to 4K | 41.79 sec | 107.73 |
40.31
|
sec |
2.67
|
|
| x264 1080p to 1080p | 7.26 sec | 49.98 |
7.26
|
sec |
6.88
|
|
| GPU H.265 4K to 4K | 45.16 sec | 169.65 |
133.86
|
fps |
0.79
|
|
| GPU H.265 4K to 1080p | 186.74 sec | 128.84 |
473.43
|
fps |
3.67
|
|
| Hidden Line Removal | Nov 21, 2024, 2:04:04 PM MST |
2.08
|
||||
| Palatov | 17.29 sec | 24.29 |
50.64
|
fps |
2.08
|
|
| Palatov | 17.08 sec | 24.29 |
44.27
|
fps |
1.82
|
|
| LAMMPS | Nov 21, 2024, 2:04:39 PM MST |
4.27
|
||||
| LJ | 5.30 sec | 705.82 |
3115.29
|
tau/day |
4.41
|
|
| CHAIN | 5.60 sec | 1190.35 |
5806.69
|
tau/day |
4.88
|
|
| EAM | 5.63 sec | 0.63 |
2.63
|
ns/day |
4.17
|
|
| CHUTE | 3.82 sec | 38.25 |
157.45
|
tau/day |
4.12
|
|
| RHODO | 3.66 sec | 0.26 |
1.00
|
ns/day |
3.84
|
|
| LLVM Clang | Nov 21, 2024, 2:05:04 PM MST |
3.09
|
||||
| PyTorch | 204.01 sec | 562.76 |
181.99
|
sec |
3.09
|
|
| LuxCoreRender | Nov 21, 2024, 2:09:25 PM MST |
3.62
|
||||
| DLSC | 6.67 sec | 2.46 |
9.31
|
Msamples/sec |
3.78
|
|
| Food | 10.56 sec | 1.84 |
7.20
|
Msamples/sec |
3.91
|
|
| Danish Mood | 22.27 sec | 2.29 |
7.15
|
Msamples/sec |
3.12
|
|
| Procedural Leaves | 13.90 sec | 1.10 |
4.10
|
Msamples/sec |
3.73
|
|
| MFEM | Nov 21, 2024, 2:10:19 PM MST |
3.33
|
||||
| Dynamic AMR | 68.34 sec | 227.39 |
68.34
|
sec |
3.33
|
|
| NAMD | Nov 21, 2024, 2:11:28 PM MST |
3.41
|
||||
| apoa1 | 10.80 sec | 45.38 |
13.71
|
ms/step |
3.31
|
|
| f1atpase | 16.85 sec | 130.50 |
38.96
|
ms/step |
3.35
|
|
| stmv | 26.61 sec | 448.57 |
124.94
|
ms/step |
3.59
|
|
| Octave | Nov 21, 2024, 2:12:22 PM MST |
1.20
|
||||
| obench | 48.03 sec | 1.20 |
0.97
|
sec/operation |
1.24
|
|
| benchmark2 | 11.54 sec | 0.11 |
0.09
|
sec/operation |
1.17
|
|
| ONNX Inference | Nov 21, 2024, 2:13:32 PM MST |
5.48
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.28 sec | 63.72 |
22.00
|
ms |
2.90
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.11 sec | 18.33 |
64.45
|
inferences/sec |
3.52
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.63 sec | 18.33 |
62.24
|
inferences/sec |
3.40
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.14 sec | 22.37 |
10.42
|
ms |
2.15
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.41 sec | 46.62 |
205.06
|
inferences/sec |
4.40
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.57 sec | 46.62 |
204.57
|
inferences/sec |
4.39
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 |
37.62
|
ms |
1.55
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.84 sec | 20.87 |
86.34
|
inferences/sec |
4.14
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.30 sec | 20.87 |
80.81
|
inferences/sec |
3.87
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 |
19.44
|
ms |
1.10
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.41 sec | 55.92 |
237.78
|
inferences/sec |
4.25
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.58 sec | 55.92 |
187.99
|
inferences/sec |
3.36
|
|
| GPU ResNet50-FP32-batch32 Throughput | 20.67 sec | 3.92 |
64.84
|
inferences/sec |
16.50
|
|
| GPU ResNet50-INT8-batch32 Throughput | 20.65 sec | 1.92 |
127.68
|
inferences/sec |
66.50
|
|
| GPU SuperResolution-FP32-batch32 Throughput | 21.31 sec | 6.59 |
48.16
|
inferences/sec |
7.31
|
|
| GPU SuperResolution-INT8-batch32 Throughput | 21.45 sec | 1.92 |
60.34
|
inferences/sec |
31.40
|
|
| OpenFOAM | Nov 21, 2024, 2:19:05 PM MST |
22.20
|
||||
| XiFoam Solver | 77.04 sec | 803.27 |
63.90
|
sec |
12.60
|
|
| XiFoam Solver | 47.25 sec | 803.27 |
36.15
|
sec |
22.20
|
|
| Options Pricing | Nov 21, 2024, 2:21:12 PM MST |
4.17
|
||||
| Monte Carlo | 6.67 sec | 35137.48 |
159299.12
|
options/sec |
4.53
|
|
| Black-Scholes | 5.79 sec | 3389.63 |
15555.17
|
Moptions/sec |
4.59
|
|
| Binomial | 3.86 sec | 79377.62 |
276315.36
|
options/sec |
3.48
|
|
| Poisson | Nov 21, 2024, 2:21:29 PM MST |
7.38
|
||||
| Jacobi Rectangular Grid | 10.05 sec | 16.05 |
160.82
|
iterations/sec |
10.00
|
|
| Jacobi Rectangular Grid | 10.04 sec | 16.05 |
147.31
|
iterations/sec |
9.18
|
|
| Jacobi Square Grid | 10.07 sec | 6.19 |
33.15
|
iterations/sec |
5.36
|
|
| Jacobi Square Grid | 10.07 sec | 6.19 |
33.74
|
iterations/sec |
5.45
|
|
| Python 3 | Nov 21, 2024, 2:22:09 PM MST |
1.61
|
||||
| NumPy Create Matrix | 2.01 sec | 0.36 |
0.40
|
sec |
0.91
|
|
| NumPy Add Matrix | 5.48 sec | 4.44 |
4.69
|
sec |
0.95
|
|
| NumPy Multiply Matrix | 5.72 sec | 8.06 |
4.91
|
sec |
1.64
|
|
| NumPy Invert Matrix | 9.16 sec | 15.53 |
8.34
|
sec |
1.86
|
|
| NumPy Sin Matrix | 3.56 sec | 2.67 |
2.75
|
sec |
0.97
|
|
| Multi-Matrix | 31.08 sec | 65.50 |
30.26
|
sec |
2.16
|
|
| Rodinia CFD | Nov 21, 2024, 2:23:15 PM MST |
2.31
|
||||
| Pre-Euler | 32.95 sec | 138.14 |
318.73
|
iterations/sec |
2.31
|
|
| Rodinia Life Sciences | Nov 21, 2024, 2:23:48 PM MST |
3.82
|
||||
| Heart Wall | 10.26 sec | 0.69 |
2.48
|
fps |
3.60
|
|
| HotSpot | 4.00 sec | 8.55 |
2.83
|
sec |
3.02
|
|
| LavaMD | 10.57 sec | 0.07 |
0.29
|
iterations/sec |
4.21
|
|
| SRAD | 10.24 sec | 47.04 |
217.67
|
iterations/sec |
4.63
|
|
| SRMP | Nov 21, 2024, 2:24:24 PM MST |
3.17
|
||||
| 2D | 6.41 sec | 19.45 |
6.13
|
sec |
3.17
|
|
| Viewport Graphics | Nov 21, 2024, 2:24:30 PM MST |
12.10
|
||||
| 3dsmax | 119.53 sec | 15.96 |
254.03
|
fps |
15.90
|
|
| catia | 113.46 sec | 17.57 |
143.42
|
fps |
8.16
|
|
| creo | 124.16 sec | 48.42 |
227.38
|
fps |
4.70
|
|
| energy | 97.07 sec | 11.48 |
257.75
|
fps |
22.50
|
|
| maya | 88.48 sec | 62.09 |
606.70
|
fps |
9.77
|
|
| medical | 72.06 sec | 9.63 |
199.19
|
fps |
20.70
|
|
| solidworks | 72.80 sec | 42.90 |
578.14
|
fps |
13.50
|
|
| WPCstorage | Nov 21, 2024, 2:36:52 PM MST |
1.05
|
||||
| 3dsmax | 54.87 sec | 3299.42 |
3894.27
|
points |
1.18
|
|
| 7zip | 58.40 sec | 431.06 |
504.29
|
points |
1.17
|
|
| ccx | 12.86 sec | 1398.45 |
1866.54
|
points |
1.33
|
|
| cfd | 13.61 sec | 1921.51 |
1648.21
|
points |
0.86
|
|
| energy | 23.56 sec | 1547.93 |
1338.30
|
points |
0.86
|
|
| handbrake | 17.30 sec | 1897.99 |
1970.75
|
points |
1.04
|
|
| icePack | 57.40 sec | 1543.34 |
1622.72
|
points |
1.05
|
|
| maya | 55.80 sec | 2037.06 |
2154.26
|
points |
1.06
|
|
| MayaVenice | 34.52 sec | 472.63 |
460.56
|
points |
0.97
|
|
| MandE | 22.58 sec | 1625.72 |
1457.55
|
points |
0.90
|
|
| mcad | 60.04 sec | 2612.50 |
3486.95
|
points |
1.33
|
|
| mozillaVS | 29.44 sec | 7708.43 |
9582.70
|
points |
1.24
|
|
| namd | 18.28 sec | 1250.61 |
1295.12
|
points |
1.04
|
|
| proddev | 20.13 sec | 659.82 |
558.85
|
points |
0.85
|
System Configuration Details
MOTHERBOARD
Name: 8B24Model: HP Z6 G5 A Workstation Desktop PC
Version: KBC Version 12.03.00
Manufacturer: HP
Serial Number: PQZGTX7CYIC00J
BIOS: HP U65 Ver. 01.01.21
BIOS Version: HPQOEM - 1 (2024-08-14)
PROCESSOR
CPU #1: AMD Ryzen Threadripper PRO 7975WX 32-Cores (4001MHz / 32C / 64T)
MEMORY
P0 CHANNEL A (CPU0-DIMM1): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)P0 CHANNEL B (CPU0-DIMM2): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL C (CPU0-DIMM3): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL D (CPU0-DIMM4): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL E (CPU0-DIMM5): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL F (CPU0-DIMM6): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL G (CPU0-DIMM7): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
P0 CHANNEL H (CPU0-DIMM8): Hynix HMCG78AGBRA190N (16.00 GB / 5200 MHz / DDR5)
Total Memory: 128.00 GB
STORAGE
Disk #1: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)Partition 1: GPT: Basic Data (953.74 GB)
Disk #2: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)
Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (952.73 GB)
Partition 3: GPT: Unknown (0.86 GB)
Available Volumes
C: (Windows): NTFS (823.68 GB of 952.73 GB Available)
D: (DATADRIVE1): NTFS (908.82 GB of 953.74 GB Available)
NETWORK
Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 38:CA:84:48:B7:53 | Speed: 1000.00 Mbit
GRAPHICS
Adapter #1: NVIDIA RTX 5000 Ada GenerationVideo Memory: 31.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5274 (2024-06-23)
DISPLAY
Display #1: HP INC. HP Z27k G3 27.2" (3840x2160)Model: 36D4 | S/N: CN41283LXD | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 2560x1440 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-17
Free Memory: 119.26 GB (Physical) | 125.10 GB (Virtual) | 8.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)