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 | LENOVO |
Model | Lenovo ThinkStation PX |
CPU | 2x INTEL(R) XEON(R) PLATINUM 8592+ |
Memory | 256.00 GB @ 4800 MHz |
GPU | NVIDIA RTX 6000 Ada Generation |
Display | S24C650 23.4" (1920x1080) |
Storage | Drive 1: SAMSUNG MZVL2512HDJD-00BLL 476.94 GB - SCSI Drive 2: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 3: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 4: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 5: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro for Workstations (22631) |
Submission Details
Result Date | Wed Nov 20 2024 14:56:52 GMT-0500 (Eastern Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
3.39 |
Energy |
8.27 |
Financial Services |
8.54 |
Life Sciences |
6.57 |
Media & Entertainment |
4.04 |
Product Design |
3.15 |
Productivity & Development |
1.88 |
Hardware Subsystem Scores
CPU | 4.13 |
Accelerator | 5.93 |
Graphics | 11.36 |
Storage | 1.38 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.57 |
Autodesk Inventor | 0.72 |
Blender | 5.61 |
Convolution | 10.90 |
Data Science | 2.08 |
HandBrake | 1.98 |
Hidden Line Removal | 1.45 |
LAMMPS | 7.89 |
LLVM Clang | 4.70 |
LuxCoreRender | 5.82 |
MFEM | 4.05 |
NAMD | 6.36 |
Octave | 0.81 |
ONNX Inference | 5.53 |
OpenFOAM | 29.30 |
Options Pricing | 8.54 |
Poisson | 18.20 |
Python 3 | 1.17 |
Rodinia CFD | 3.16 |
Rodinia Life Sciences | 9.29 |
SRMP | 7.66 |
Viewport Graphics | 11.40 |
WPCstorage | 1.38 |
Industry Vertical Scores
AI & Machine Learning | 3.39 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
150.33
|
sec |
0.88
|
Scikit-learn | 449.17 |
57.14
|
sec |
7.86
|
XGBoost | 91.50 |
70.17
|
sec |
1.30
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
18.03
|
ms |
3.53
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
86.71
|
inferences/sec |
4.73
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
11.81
|
ms |
1.89
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
213.15
|
inferences/sec |
4.57
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
15.57
|
ms |
3.75
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
69.85
|
inferences/sec |
3.35
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
15.75
|
ms |
1.35
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
110.06
|
inferences/sec |
1.97
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
82.50
|
inferences/sec |
21.00
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
144.62
|
inferences/sec |
75.30
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
36.38
|
inferences/sec |
5.52
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
37.11
|
inferences/sec |
19.30
|
Industry Vertical Scores
Energy | 8.27 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.98
|
iterations/sec |
10.90
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
422.03
|
iterations/sec |
26.30
|
Jacobi Square Grid | 6.19 |
78.05
|
iterations/sec |
12.60
|
SRMP |
|
|||
2D | 19.45 |
2.54
|
sec |
7.66
|
Viewport Graphics |
|
|||
energy | 11.48 |
306.50
|
fps |
26.70
|
WPCstorage |
|
|||
energy | 1547.93 |
1475.51
|
points |
0.95
|
Industry Vertical Scores
Financial Services | 8.54 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
352159.20
|
options/sec |
10.00
|
Black-Scholes | 3389.63 |
28094.86
|
Moptions/sec |
8.29
|
Binomial | 79377.62 |
595818.92
|
options/sec |
7.51
|
Industry Vertical Scores
Life Sciences | 6.57 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
6787.51
|
tau/day |
9.62
|
CHAIN | 1190.35 |
11478.24
|
tau/day |
9.64
|
EAM | 0.63 |
5.50
|
ns/day |
8.73
|
CHUTE | 38.25 |
295.77
|
tau/day |
7.73
|
RHODO | 0.26 |
1.27
|
ns/day |
4.89
|
NAMD |
|
|||
apoa1 | 45.38 |
8.44
|
ms/step |
5.37
|
f1atpase | 130.50 |
18.79
|
ms/step |
6.94
|
stmv | 448.57 |
65.15
|
ms/step |
6.89
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
7.74
|
fps |
11.20
|
HotSpot | 8.55 |
1.24
|
sec |
6.91
|
LavaMD | 0.07 |
0.65
|
iterations/sec |
9.34
|
SRAD | 47.04 |
485.06
|
iterations/sec |
10.30
|
Viewport Graphics |
|
|||
medical | 9.63 |
204.44
|
fps |
21.20
|
WPCstorage |
|
|||
namd | 1250.61 |
1545.22
|
points |
1.24
|
Industry Vertical Scores
Media & Entertainment | 4.04 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
13.74
|
sec |
20.50
|
BMW27 | 43.82 |
6.12
|
sec |
7.16
|
BMW1M | 17.74 |
3.20
|
sec |
5.54
|
Island | 29.68 |
24.38
|
sec |
1.22
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
209.19
|
sec |
0.93
|
x265 4K to 1080p | 38.36 |
24.11
|
sec |
1.59
|
x265 4K to 4K | 107.73 |
43.53
|
sec |
2.47
|
x264 1080p to 1080p | 49.98 |
9.02
|
sec |
5.54
|
GPU H.265 4K to 4K | 169.65 |
136.73
|
fps |
0.81
|
GPU H.265 4K to 1080p | 128.84 |
480.68
|
fps |
3.73
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
17.01
|
Msamples/sec |
6.91
|
Food | 1.84 |
14.90
|
Msamples/sec |
8.10
|
Danish Mood | 2.29 |
6.84
|
Msamples/sec |
2.99
|
Procedural Leaves | 1.10 |
7.55
|
Msamples/sec |
6.86
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
307.81
|
fps |
19.30
|
maya | 62.09 |
517.21
|
fps |
8.33
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4115.35
|
points |
1.25
|
handbrake | 1897.99 |
2548.95
|
points |
1.34
|
maya | 2037.06 |
3248.36
|
points |
1.59
|
MayaVenice | 472.63 |
685.85
|
points |
1.45
|
MandE | 1625.72 |
1650.65
|
points |
1.02
|
Industry Vertical Scores
Product Design | 3.15 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
5954.00
|
ms |
0.71
|
Create/Update Files | 4973.68 |
7454.00
|
ms |
0.67
|
Rebuild | 10590.28 |
13503.00
|
ms |
0.78
|
Render Style/Material | 628.78 |
873.00
|
ms |
0.72
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
35.27
|
fps |
1.45
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
56.20
|
sec |
4.05
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
27.44
|
sec |
29.30
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
437.13
|
iterations/sec |
3.16
|
Viewport Graphics |
|
|||
catia | 17.57 |
120.97
|
fps |
6.89
|
creo | 48.42 |
137.05
|
fps |
2.83
|
solidworks | 42.90 |
591.94
|
fps |
13.80
|
WPCstorage |
|
|||
ccx | 1398.45 |
1940.45
|
points |
1.39
|
cfd | 1921.51 |
2241.39
|
points |
1.17
|
icePack | 1543.34 |
1451.15
|
points |
0.94
|
mcad | 2612.50 |
5285.77
|
points |
2.02
|
proddev | 659.82 |
554.26
|
points |
0.84
|
Industry Vertical Scores
Productivity & Development | 1.88 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
19.55
|
sec |
0.82
|
Compression | 254.57 |
38.05
|
sec |
6.69
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
119.65
|
sec |
4.70
|
Octave |
|
|||
obench | 1.20 |
1.45
|
sec/operation |
0.83
|
benchmark2 | 0.11 |
0.14
|
sec/operation |
0.79
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.49
|
sec |
0.73
|
NumPy Add Matrix | 4.44 |
5.93
|
sec |
0.75
|
NumPy Multiply Matrix | 8.06 |
7.83
|
sec |
1.03
|
NumPy Invert Matrix | 15.53 |
11.25
|
sec |
1.38
|
NumPy Sin Matrix | 2.67 |
3.45
|
sec |
0.77
|
Multi-Matrix | 65.50 |
43.15
|
sec |
1.52
|
WPCstorage |
|
|||
7zip | 431.06 |
1811.84
|
points |
4.20
|
mozillaVS | 7708.43 |
13451.60
|
points |
1.75
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
5.93
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
136.73
|
fps |
0.81
|
GPU H.265 4K to 1080p | 128.84 |
480.68
|
fps |
3.73
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
82.50
|
inferences/sec |
21.00
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
144.62
|
inferences/sec |
75.30
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
36.38
|
inferences/sec |
5.52
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
37.11
|
inferences/sec |
19.30
|
4.13
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
19.55
|
sec |
0.82
|
Compression | 254.57 |
38.05
|
sec |
6.69
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
5954.00
|
ms |
0.71
|
Create/Update Files | 4973.68 |
7454.00
|
ms |
0.67
|
Rebuild | 10590.28 |
13503.00
|
ms |
0.78
|
Render Style/Material | 628.78 |
873.00
|
ms |
0.72
|
Blender |
|
|||
Classroom | 281.72 |
13.74
|
sec |
20.50
|
BMW27 | 43.82 |
6.12
|
sec |
7.16
|
BMW1M | 17.74 |
3.20
|
sec |
5.54
|
Island | 29.68 |
24.38
|
sec |
1.22
|
Convolution |
|
|||
20K/100 | 0.09 |
0.98
|
iterations/sec |
10.90
|
Data Science |
|
|||
Pandas | 131.99 |
150.33
|
sec |
0.88
|
Scikit-learn | 449.17 |
57.14
|
sec |
7.86
|
XGBoost | 91.50 |
70.17
|
sec |
1.30
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
209.19
|
sec |
0.93
|
x265 4K to 1080p | 38.36 |
24.11
|
sec |
1.59
|
x265 4K to 4K | 107.73 |
43.53
|
sec |
2.47
|
x264 1080p to 1080p | 49.98 |
9.02
|
sec |
5.54
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
35.27
|
fps |
1.45
|
LAMMPS |
|
|||
LJ | 705.82 |
6787.51
|
tau/day |
9.62
|
CHAIN | 1190.35 |
11478.24
|
tau/day |
9.64
|
EAM | 0.63 |
5.50
|
ns/day |
8.73
|
CHUTE | 38.25 |
295.77
|
tau/day |
7.73
|
RHODO | 0.26 |
1.27
|
ns/day |
4.89
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
119.65
|
sec |
4.70
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
17.01
|
Msamples/sec |
6.91
|
Food | 1.84 |
14.90
|
Msamples/sec |
8.10
|
Danish Mood | 2.29 |
6.84
|
Msamples/sec |
2.99
|
Procedural Leaves | 1.10 |
7.55
|
Msamples/sec |
6.86
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
56.20
|
sec |
4.05
|
NAMD |
|
|||
apoa1 | 45.38 |
8.44
|
ms/step |
5.37
|
f1atpase | 130.50 |
18.79
|
ms/step |
6.94
|
stmv | 448.57 |
65.15
|
ms/step |
6.89
|
Octave |
|
|||
obench | 1.20 |
1.45
|
sec/operation |
0.83
|
benchmark2 | 0.11 |
0.14
|
sec/operation |
0.79
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
18.03
|
ms |
3.53
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
86.71
|
inferences/sec |
4.73
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
11.81
|
ms |
1.89
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
213.15
|
inferences/sec |
4.57
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
15.57
|
ms |
3.75
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
69.85
|
inferences/sec |
3.35
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
15.75
|
ms |
1.35
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
110.06
|
inferences/sec |
1.97
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
27.44
|
sec |
29.30
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
352159.20
|
options/sec |
10.00
|
Black-Scholes | 3389.63 |
28094.86
|
Moptions/sec |
8.29
|
Binomial | 79377.62 |
595818.92
|
options/sec |
7.51
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
422.03
|
iterations/sec |
26.30
|
Jacobi Square Grid | 6.19 |
78.05
|
iterations/sec |
12.60
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.49
|
sec |
0.73
|
NumPy Add Matrix | 4.44 |
5.93
|
sec |
0.75
|
NumPy Multiply Matrix | 8.06 |
7.83
|
sec |
1.03
|
NumPy Invert Matrix | 15.53 |
11.25
|
sec |
1.38
|
NumPy Sin Matrix | 2.67 |
3.45
|
sec |
0.77
|
Multi-Matrix | 65.50 |
43.15
|
sec |
1.52
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
437.13
|
iterations/sec |
3.16
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
7.74
|
fps |
11.20
|
HotSpot | 8.55 |
1.24
|
sec |
6.91
|
LavaMD | 0.07 |
0.65
|
iterations/sec |
9.34
|
SRAD | 47.04 |
485.06
|
iterations/sec |
10.30
|
SRMP |
|
|||
2D | 19.45 |
2.54
|
sec |
7.66
|
11.36
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
307.81
|
fps |
19.30
|
catia | 17.57 |
120.97
|
fps |
6.89
|
creo | 48.42 |
137.05
|
fps |
2.83
|
energy | 11.48 |
306.50
|
fps |
26.70
|
maya | 62.09 |
517.21
|
fps |
8.33
|
medical | 9.63 |
204.44
|
fps |
21.20
|
solidworks | 42.90 |
591.94
|
fps |
13.80
|
1.38
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4115.35
|
points |
1.25
|
7zip | 431.06 |
1811.84
|
points |
4.20
|
ccx | 1398.45 |
1940.45
|
points |
1.39
|
cfd | 1921.51 |
2241.39
|
points |
1.17
|
energy | 1547.93 |
1475.51
|
points |
0.95
|
handbrake | 1897.99 |
2548.95
|
points |
1.34
|
icePack | 1543.34 |
1451.15
|
points |
0.94
|
maya | 2037.06 |
3248.36
|
points |
1.59
|
MayaVenice | 472.63 |
685.85
|
points |
1.45
|
MandE | 1625.72 |
1650.65
|
points |
1.02
|
mcad | 2612.50 |
5285.77
|
points |
2.02
|
mozillaVS | 7708.43 |
13451.60
|
points |
1.75
|
namd | 1250.61 |
1545.22
|
points |
1.24
|
proddev | 659.82 |
554.26
|
points |
0.84
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 20, 2024, 2:56:52 PM EST |
3.57
|
||||
Decompression | 19.55 sec | 16.04 |
19.55
|
sec |
0.82
|
|
Compression | 38.05 sec | 254.57 |
38.05
|
sec |
6.69
|
|
Autodesk Inventor | Nov 20, 2024, 2:57:56 PM EST |
0.72
|
||||
Open Document | 6.27 sec | 4253.73 |
5954.00
|
ms |
0.71
|
|
Create/Update Files | 9.51 sec | 4973.68 |
7454.00
|
ms |
0.67
|
|
Rebuild | 13.81 sec | 10590.28 |
13503.00
|
ms |
0.78
|
|
Render Style/Material | 1.19 sec | 628.78 |
873.00
|
ms |
0.72
|
|
Blender | Nov 20, 2024, 2:59:04 PM EST |
5.61
|
||||
Classroom | 13.74 sec | 281.72 |
13.74
|
sec |
20.50
|
|
BMW27 | 6.12 sec | 43.82 |
6.12
|
sec |
7.16
|
|
BMW1M | 3.20 sec | 17.74 |
3.20
|
sec |
5.54
|
|
Island | 24.38 sec | 29.68 |
24.38
|
sec |
1.22
|
|
Convolution | Nov 20, 2024, 2:59:57 PM EST |
10.90
|
||||
20K/100 | 33.16 sec | 0.09 |
0.98
|
iterations/sec |
10.90
|
|
Data Science | Nov 20, 2024, 3:00:30 PM EST |
2.08
|
||||
Pandas | 166.55 sec | 131.99 |
150.33
|
sec |
0.88
|
|
Scikit-learn | 62.65 sec | 449.17 |
57.14
|
sec |
7.86
|
|
XGBoost | 98.17 sec | 91.50 |
70.17
|
sec |
1.30
|
|
HandBrake | Nov 20, 2024, 3:06:16 PM EST |
1.98
|
||||
SVT-AV1 8K to 4K | 209.19 sec | 195.16 |
209.19
|
sec |
0.93
|
|
x265 4K to 1080p | 26.11 sec | 38.36 |
24.11
|
sec |
1.59
|
|
x265 4K to 4K | 45.63 sec | 107.73 |
43.53
|
sec |
2.47
|
|
x264 1080p to 1080p | 9.02 sec | 49.98 |
9.02
|
sec |
5.54
|
|
GPU H.265 4K to 4K | 59.20 sec | 169.65 |
136.73
|
fps |
0.81
|
|
GPU H.265 4K to 1080p | 234.90 sec | 128.84 |
480.68
|
fps |
3.73
|
|
Hidden Line Removal | Nov 20, 2024, 3:16:10 PM EST |
1.45
|
||||
Palatov | 19.20 sec | 24.29 |
27.82
|
fps |
1.15
|
|
Palatov | 18.48 sec | 24.29 |
35.27
|
fps |
1.45
|
|
LAMMPS | Nov 20, 2024, 3:16:48 PM EST |
7.89
|
||||
LJ | 13.96 sec | 705.82 |
6787.51
|
tau/day |
9.62
|
|
CHAIN | 20.13 sec | 1190.35 |
11478.24
|
tau/day |
9.64
|
|
EAM | 13.85 sec | 0.63 |
5.50
|
ns/day |
8.73
|
|
CHUTE | 15.92 sec | 38.25 |
295.77
|
tau/day |
7.73
|
|
RHODO | 20.00 sec | 0.26 |
1.27
|
ns/day |
4.89
|
|
LLVM Clang | Nov 20, 2024, 3:18:12 PM EST |
4.70
|
||||
PyTorch | 144.74 sec | 562.76 |
119.65
|
sec |
4.70
|
|
LuxCoreRender | Nov 20, 2024, 3:21:50 PM EST |
5.82
|
||||
DLSC | 5.42 sec | 2.46 |
17.01
|
Msamples/sec |
6.91
|
|
Food | 14.13 sec | 1.84 |
14.90
|
Msamples/sec |
8.10
|
|
Danish Mood | 24.31 sec | 2.29 |
6.84
|
Msamples/sec |
2.99
|
|
Procedural Leaves | 8.54 sec | 1.10 |
7.55
|
Msamples/sec |
6.86
|
|
MFEM | Nov 20, 2024, 3:22:43 PM EST |
4.05
|
||||
Dynamic AMR | 56.20 sec | 227.39 |
56.20
|
sec |
4.05
|
|
NAMD | Nov 20, 2024, 3:23:39 PM EST |
6.36
|
||||
apoa1 | 24.15 sec | 45.38 |
8.44
|
ms/step |
5.37
|
|
f1atpase | 32.39 sec | 130.50 |
18.79
|
ms/step |
6.94
|
|
stmv | 61.68 sec | 448.57 |
65.15
|
ms/step |
6.89
|
|
Octave | Nov 20, 2024, 3:25:38 PM EST |
0.81
|
||||
obench | 67.92 sec | 1.20 |
1.45
|
sec/operation |
0.83
|
|
benchmark2 | 11.54 sec | 0.11 |
0.14
|
sec/operation |
0.79
|
|
ONNX Inference | Nov 20, 2024, 3:27:11 PM EST |
5.53
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.46 sec | 63.72 |
18.03
|
ms |
3.53
|
|
CPU ResNet50-FP32-batch8 Throughput | 24.35 sec | 18.33 |
51.62
|
inferences/sec |
2.82
|
|
CPU ResNet50-FP32-batch8 Throughput | 23.41 sec | 18.33 |
86.71
|
inferences/sec |
4.73
|
|
CPU ResNet50-INT8-batch8 Latency | 20.22 sec | 22.37 |
11.81
|
ms |
1.89
|
|
CPU ResNet50-INT8-batch8 Throughput | 21.68 sec | 46.62 |
143.14
|
inferences/sec |
3.07
|
|
CPU ResNet50-INT8-batch8 Throughput | 21.35 sec | 46.62 |
213.15
|
inferences/sec |
4.57
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.17 sec | 58.42 |
15.57
|
ms |
3.75
|
|
CPU SuperResolution-FP32-batch8 Throughput | 24.43 sec | 20.87 |
69.85
|
inferences/sec |
3.35
|
|
CPU SuperResolution-FP32-batch8 Throughput | 24.94 sec | 20.87 |
54.56
|
inferences/sec |
2.61
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.16 sec | 21.34 |
15.75
|
ms |
1.35
|
|
CPU SuperResolution-INT8-batch8 Throughput | 23.03 sec | 55.92 |
82.73
|
inferences/sec |
1.48
|
|
CPU SuperResolution-INT8-batch8 Throughput | 22.50 sec | 55.92 |
110.06
|
inferences/sec |
1.97
|
|
GPU ResNet50-FP32-batch32 Throughput | 21.13 sec | 3.92 |
82.50
|
inferences/sec |
21.00
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.92 sec | 1.92 |
144.62
|
inferences/sec |
75.30
|
|
GPU SuperResolution-FP32-batch32 Throughput | 22.03 sec | 6.59 |
36.38
|
inferences/sec |
5.52
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.86 sec | 1.92 |
37.11
|
inferences/sec |
19.30
|
|
OpenFOAM | Nov 20, 2024, 3:33:05 PM EST |
29.30
|
||||
XiFoam Solver | 340.43 sec | 803.27 |
269.92
|
sec |
2.98
|
|
XiFoam Solver | 48.90 sec | 803.27 |
27.44
|
sec |
29.30
|
|
Options Pricing | Nov 20, 2024, 3:39:40 PM EST |
8.54
|
||||
Monte Carlo | 3.11 sec | 35137.48 |
352159.20
|
options/sec |
10.00
|
|
Black-Scholes | 4.77 sec | 3389.63 |
28094.86
|
Moptions/sec |
8.29
|
|
Binomial | 1.86 sec | 79377.62 |
595818.92
|
options/sec |
7.51
|
|
Poisson | Nov 20, 2024, 3:39:49 PM EST |
18.20
|
||||
Jacobi Rectangular Grid | 10.14 sec | 16.05 |
422.03
|
iterations/sec |
26.30
|
|
Jacobi Rectangular Grid | 10.08 sec | 16.05 |
196.00
|
iterations/sec |
12.20
|
|
Jacobi Square Grid | 10.16 sec | 6.19 |
78.05
|
iterations/sec |
12.60
|
|
Jacobi Square Grid | 10.14 sec | 6.19 |
17.21
|
iterations/sec |
2.78
|
|
Python 3 | Nov 20, 2024, 3:40:30 PM EST |
1.17
|
||||
NumPy Create Matrix | 4.45 sec | 0.36 |
0.49
|
sec |
0.73
|
|
NumPy Add Matrix | 6.84 sec | 4.44 |
5.93
|
sec |
0.75
|
|
NumPy Multiply Matrix | 8.78 sec | 8.06 |
7.83
|
sec |
1.03
|
|
NumPy Invert Matrix | 12.29 sec | 15.53 |
11.25
|
sec |
1.38
|
|
NumPy Sin Matrix | 4.43 sec | 2.67 |
3.45
|
sec |
0.77
|
|
Multi-Matrix | 44.10 sec | 65.50 |
43.15
|
sec |
1.52
|
|
Rodinia CFD | Nov 20, 2024, 3:42:03 PM EST |
3.16
|
||||
Pre-Euler | 34.20 sec | 138.14 |
437.13
|
iterations/sec |
3.16
|
|
Rodinia Life Sciences | Nov 20, 2024, 3:42:37 PM EST |
9.29
|
||||
Heart Wall | 10.38 sec | 0.69 |
7.74
|
fps |
11.20
|
|
HotSpot | 2.84 sec | 8.55 |
1.24
|
sec |
6.91
|
|
LavaMD | 11.32 sec | 0.07 |
0.65
|
iterations/sec |
9.34
|
|
SRAD | 10.45 sec | 47.04 |
485.06
|
iterations/sec |
10.30
|
|
SRMP | Nov 20, 2024, 3:43:13 PM EST |
7.66
|
||||
2D | 3.12 sec | 19.45 |
2.54
|
sec |
7.66
|
|
Viewport Graphics | Nov 20, 2024, 3:43:16 PM EST |
11.40
|
||||
3dsmax | 128.72 sec | 15.96 |
307.81
|
fps |
19.30
|
|
catia | 152.21 sec | 17.57 |
120.97
|
fps |
6.89
|
|
creo | 162.94 sec | 48.42 |
137.05
|
fps |
2.83
|
|
energy | 109.42 sec | 11.48 |
306.50
|
fps |
26.70
|
|
maya | 98.83 sec | 62.09 |
517.21
|
fps |
8.33
|
|
medical | 75.73 sec | 9.63 |
204.44
|
fps |
21.20
|
|
solidworks | 70.16 sec | 42.90 |
591.94
|
fps |
13.80
|
|
WPCstorage | Nov 20, 2024, 3:57:55 PM EST |
1.38
|
||||
3dsmax | 69.27 sec | 3299.42 |
2495.09
|
points |
0.76
|
|
3dsmax | 56.00 sec | 3299.42 |
4115.35
|
points |
1.25
|
|
7zip | 78.16 sec | 431.06 |
200.18
|
points |
0.46
|
|
7zip | 50.24 sec | 431.06 |
1811.84
|
points |
4.20
|
|
ccx | 13.34 sec | 1398.45 |
1210.52
|
points |
0.87
|
|
ccx | 13.24 sec | 1398.45 |
1940.45
|
points |
1.39
|
|
cfd | 14.07 sec | 1921.51 |
1624.20
|
points |
0.84
|
|
cfd | 13.81 sec | 1921.51 |
2241.39
|
points |
1.17
|
|
energy | 25.55 sec | 1547.93 |
1101.64
|
points |
0.71
|
|
energy | 23.18 sec | 1547.93 |
1475.51
|
points |
0.95
|
|
handbrake | 17.52 sec | 1897.99 |
1764.70
|
points |
0.93
|
|
handbrake | 16.99 sec | 1897.99 |
2548.95
|
points |
1.34
|
|
icePack | 88.47 sec | 1543.34 |
812.74
|
points |
0.53
|
|
icePack | 64.07 sec | 1543.34 |
1451.15
|
points |
0.94
|
|
maya | 73.10 sec | 2037.06 |
1436.24
|
points |
0.70
|
|
maya | 47.78 sec | 2037.06 |
3248.36
|
points |
1.59
|
|
MayaVenice | 36.76 sec | 472.63 |
421.58
|
points |
0.89
|
|
MayaVenice | 28.41 sec | 472.63 |
685.85
|
points |
1.45
|
|
MandE | 23.82 sec | 1625.72 |
1030.27
|
points |
0.63
|
|
MandE | 22.00 sec | 1625.72 |
1650.65
|
points |
1.02
|
|
mcad | 83.01 sec | 2612.50 |
2068.09
|
points |
0.79
|
|
mcad | 54.09 sec | 2612.50 |
5285.77
|
points |
2.02
|
|
mozillaVS | 39.09 sec | 7708.43 |
3473.30
|
points |
0.45
|
|
mozillaVS | 30.04 sec | 7708.43 |
13451.60
|
points |
1.75
|
|
namd | 18.90 sec | 1250.61 |
1147.75
|
points |
0.92
|
|
namd | 17.99 sec | 1250.61 |
1545.22
|
points |
1.24
|
|
proddev | 22.84 sec | 659.82 |
483.79
|
points |
0.73
|
|
proddev | 22.40 sec | 659.82 |
554.26
|
points |
0.84
|
System Configuration Details
MOTHERBOARD
Name: 104EModel: Lenovo ThinkStation PX
Version: 30EV0013US
Manufacturer: LENOVO
Serial Number: LENOVO_MT_30EV_BU_Think_FM_ThinkStation PX
BIOS: LENOVO S09KT18A
BIOS Version: LENOVO - 1180 (2024-08-20)
PROCESSOR
CPU #1: INTEL(R) XEON(R) PLATINUM 8592+ (1900MHz / 64C / 128T)CPU #2: INTEL(R) XEON(R) PLATINUM 8592+ (1900MHz / 64C / 128T)
MEMORY
NODE 0 (CPU0_DIMM_4): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)NODE 0 (CPU0_DIMM_3): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 1 (CPU0_DIMM_2): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 1 (CPU0_DIMM_1): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 2 (CPU0_DIMM_5): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 2 (CPU0_DIMM_6): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 3 (CPU0_DIMM_7): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 3 (CPU0_DIMM_8): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 4 (CPU1_DIMM_12): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 4 (CPU1_DIMM_11): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 5 (CPU1_DIMM_10): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 5 (CPU1_DIMM_9): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 6 (CPU1_DIMM_13): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 6 (CPU1_DIMM_14): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 7 (CPU1_DIMM_15): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
NODE 7 (CPU1_DIMM_16): Micron MTC10F1084S1RC48BA1 (16.00 GB / 4800 MHz / DDR5)
Total Memory: 256.00 GB
STORAGE
Disk #1: SAMSUNG MZVL2512HDJD-00BLL (476.94 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (474.72 GB)
Partition 3: GPT: Unknown (1.95 GB)
Disk #2: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #3: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #4: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #5: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Available Volumes
C: (Windows): NTFS (271.21 GB of 474.72 GB Available)
R: (R): NTFS (7630.51 GB of 7630.85 GB Available)
NETWORK
Adapter #1: Marvell AQtion 10Gbit Network AdapterType: Ethernet 802.3 | MAC: F4:6B:8C:D1:E0:8E | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (15) I219-LM
Type: Ethernet 802.3 | MAC: A0:F5:B1:E4:C2:D3 | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 6000 Ada GenerationVideo Memory: 47.99 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 31.0.15.5324 (2024-10-07)
DISPLAY
Display #1: SAMSUNG ELECTRIC COMPANY S24C650 23.4" (1920x1080)Model: 09E8 | S/N: None | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-29
Free Memory: 244.66 GB (Physical) | 258.90 GB (Virtual) | 16.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Best Performance
Virtualization Based Security (VBS): Running
Active Power Plan: Ultimate Performance (e9a42b02-d5df-448d-aa00-03f14749eb61)