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 P3 Tower |
CPU | Intel(R) Core(TM) i9-14900K |
Memory | 64.00 GB @ 4400 MHz |
GPU | 1x Intel(R) UHD Graphics 770 1x NVIDIA RTX 5000 Ada Generation |
Display | LEN P27u-10 27.2" (3840x2160) |
Storage | Intel Raid 0 Volume 5723.18 GB - SCSI |
OS | Microsoft Windows 11 Pro (26100) |
Submission Details
Result Date | Mon Nov 18 2024 16:19:49 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
2.32 |
Energy |
2.26 |
Financial Services |
1.49 |
Life Sciences |
2.67 |
Media & Entertainment |
2.58 |
Product Design |
2.31 |
Productivity & Development |
1.67 |
Hardware Subsystem Scores
CPU | 1.76 |
Accelerator | 6.13 |
Graphics | 12.41 |
Storage | 1.12 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.75 |
Autodesk Inventor | 1.06 |
Blender | 2.19 |
Convolution | 1.85 |
Data Science | 1.58 |
HandBrake | 2.01 |
Hidden Line Removal | 1.32 |
LAMMPS | 1.68 |
LLVM Clang | 1.95 |
LuxCoreRender | 1.98 |
MFEM | 1.57 |
NAMD | 1.85 |
Octave | 1.23 |
ONNX Inference | 3.39 |
OpenFOAM | 6.41 |
Options Pricing | 1.49 |
Poisson | 1.14 |
Python 3 | 1.35 |
Rodinia CFD | 2.76 |
Rodinia Life Sciences | 1.70 |
SRMP | 1.36 |
Viewport Graphics | 12.40 |
WPCstorage | 1.12 |
Industry Vertical Scores
AI & Machine Learning | 2.32 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
97.58
|
sec |
1.35
|
Scikit-learn | 449.17 |
299.92
|
sec |
1.50
|
XGBoost | 91.50 |
46.89
|
sec |
1.95
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
41.89
|
ms |
1.52
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
25.83
|
inferences/sec |
1.41
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
20.67
|
ms |
1.08
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
71.83
|
inferences/sec |
1.54
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
40.27
|
ms |
1.45
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
36.49
|
inferences/sec |
1.75
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
15.77
|
ms |
1.35
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
74.15
|
inferences/sec |
1.33
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
62.38
|
inferences/sec |
15.90
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
120.35
|
inferences/sec |
62.70
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
38.82
|
inferences/sec |
5.89
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
46.94
|
inferences/sec |
24.40
|
Industry Vertical Scores
Energy | 2.26 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.17
|
iterations/sec |
1.85
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
18.32
|
iterations/sec |
1.14
|
Jacobi Square Grid | 6.19 |
7.15
|
iterations/sec |
1.15
|
SRMP |
|
|||
2D | 19.45 |
14.29
|
sec |
1.36
|
Viewport Graphics |
|
|||
energy | 11.48 |
254.35
|
fps |
22.20
|
WPCstorage |
|
|||
energy | 1547.93 |
1434.76
|
points |
0.93
|
Industry Vertical Scores
Financial Services | 1.49 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
53888.34
|
options/sec |
1.53
|
Black-Scholes | 3389.63 |
5520.78
|
Moptions/sec |
1.63
|
Binomial | 79377.62 |
104935.74
|
options/sec |
1.32
|
Industry Vertical Scores
Life Sciences | 2.67 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1265.53
|
tau/day |
1.79
|
CHAIN | 1190.35 |
2083.86
|
tau/day |
1.75
|
EAM | 0.63 |
1.17
|
ns/day |
1.86
|
CHUTE | 38.25 |
45.16
|
tau/day |
1.18
|
RHODO | 0.26 |
0.51
|
ns/day |
1.97
|
NAMD |
|
|||
apoa1 | 45.38 |
24.63
|
ms/step |
1.84
|
f1atpase | 130.50 |
72.51
|
ms/step |
1.80
|
stmv | 448.57 |
235.09
|
ms/step |
1.91
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.22
|
fps |
1.77
|
HotSpot | 8.55 |
3.97
|
sec |
2.15
|
LavaMD | 0.07 |
0.13
|
iterations/sec |
1.87
|
SRAD | 47.04 |
55.25
|
iterations/sec |
1.17
|
Viewport Graphics |
|
|||
medical | 9.63 |
200.78
|
fps |
20.80
|
WPCstorage |
|
|||
namd | 1250.61 |
1552.76
|
points |
1.24
|
Industry Vertical Scores
Media & Entertainment | 2.58 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
50.81
|
sec |
5.54
|
BMW27 | 43.82 |
23.47
|
sec |
1.87
|
BMW1M | 17.74 |
9.32
|
sec |
1.90
|
Island | 29.68 |
25.34
|
sec |
1.17
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
116.86
|
sec |
1.67
|
x265 4K to 1080p | 38.36 |
28.45
|
sec |
1.35
|
x265 4K to 4K | 107.73 |
70.05
|
sec |
1.54
|
x264 1080p to 1080p | 49.98 |
9.68
|
sec |
5.16
|
GPU H.265 4K to 4K | 169.65 |
171.60
|
fps |
1.01
|
GPU H.265 4K to 1080p | 128.84 |
474.83
|
fps |
3.69
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.14
|
Msamples/sec |
2.09
|
Food | 1.84 |
3.88
|
Msamples/sec |
2.11
|
Danish Mood | 2.29 |
3.86
|
Msamples/sec |
1.69
|
Procedural Leaves | 1.10 |
2.25
|
Msamples/sec |
2.05
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
249.98
|
fps |
15.70
|
maya | 62.09 |
632.52
|
fps |
10.20
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4227.79
|
points |
1.28
|
handbrake | 1897.99 |
2298.48
|
points |
1.21
|
maya | 2037.06 |
2153.81
|
points |
1.06
|
MayaVenice | 472.63 |
441.45
|
points |
0.93
|
MandE | 1625.72 |
1295.62
|
points |
0.80
|
Industry Vertical Scores
Product Design | 2.31 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
3908.00
|
ms |
1.09
|
Create/Update Files | 4973.68 |
4367.00
|
ms |
1.14
|
Rebuild | 10590.28 |
8883.00
|
ms |
1.19
|
Render Style/Material | 628.78 |
730.00
|
ms |
0.86
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
32.09
|
fps |
1.32
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
144.75
|
sec |
1.57
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
125.30
|
sec |
6.41
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
380.87
|
iterations/sec |
2.76
|
Viewport Graphics |
|
|||
catia | 17.57 |
141.24
|
fps |
8.04
|
creo | 48.42 |
266.01
|
fps |
5.49
|
solidworks | 42.90 |
597.95
|
fps |
13.90
|
WPCstorage |
|
|||
ccx | 1398.45 |
1775.42
|
points |
1.27
|
cfd | 1921.51 |
1856.27
|
points |
0.97
|
icePack | 1543.34 |
1556.07
|
points |
1.01
|
mcad | 2612.50 |
3664.49
|
points |
1.40
|
proddev | 659.82 |
506.55
|
points |
0.77
|
Industry Vertical Scores
Productivity & Development | 1.67 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.01
|
sec |
1.34
|
Compression | 254.57 |
43.73
|
sec |
5.82
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
288.16
|
sec |
1.95
|
Octave |
|
|||
obench | 1.20 |
0.98
|
sec/operation |
1.23
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.24
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.50
|
sec |
0.73
|
NumPy Add Matrix | 4.44 |
3.90
|
sec |
1.14
|
NumPy Multiply Matrix | 8.06 |
6.73
|
sec |
1.20
|
NumPy Invert Matrix | 15.53 |
11.77
|
sec |
1.32
|
NumPy Sin Matrix | 2.67 |
2.27
|
sec |
1.17
|
Multi-Matrix | 65.50 |
39.16
|
sec |
1.67
|
WPCstorage |
|
|||
7zip | 431.06 |
1033.73
|
points |
2.40
|
mozillaVS | 7708.43 |
8542.28
|
points |
1.11
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.13
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
171.60
|
fps |
1.01
|
GPU H.265 4K to 1080p | 128.84 |
474.83
|
fps |
3.69
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
62.38
|
inferences/sec |
15.90
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
120.35
|
inferences/sec |
62.70
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
38.82
|
inferences/sec |
5.89
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
46.94
|
inferences/sec |
24.40
|
1.76
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.01
|
sec |
1.34
|
Compression | 254.57 |
43.73
|
sec |
5.82
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
3908.00
|
ms |
1.09
|
Create/Update Files | 4973.68 |
4367.00
|
ms |
1.14
|
Rebuild | 10590.28 |
8883.00
|
ms |
1.19
|
Render Style/Material | 628.78 |
730.00
|
ms |
0.86
|
Blender |
|
|||
Classroom | 281.72 |
50.81
|
sec |
5.54
|
BMW27 | 43.82 |
23.47
|
sec |
1.87
|
BMW1M | 17.74 |
9.32
|
sec |
1.90
|
Island | 29.68 |
25.34
|
sec |
1.17
|
Convolution |
|
|||
20K/100 | 0.09 |
0.17
|
iterations/sec |
1.85
|
Data Science |
|
|||
Pandas | 131.99 |
97.58
|
sec |
1.35
|
Scikit-learn | 449.17 |
299.92
|
sec |
1.50
|
XGBoost | 91.50 |
46.89
|
sec |
1.95
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
116.86
|
sec |
1.67
|
x265 4K to 1080p | 38.36 |
28.45
|
sec |
1.35
|
x265 4K to 4K | 107.73 |
70.05
|
sec |
1.54
|
x264 1080p to 1080p | 49.98 |
9.68
|
sec |
5.16
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
32.09
|
fps |
1.32
|
LAMMPS |
|
|||
LJ | 705.82 |
1265.53
|
tau/day |
1.79
|
CHAIN | 1190.35 |
2083.86
|
tau/day |
1.75
|
EAM | 0.63 |
1.17
|
ns/day |
1.86
|
CHUTE | 38.25 |
45.16
|
tau/day |
1.18
|
RHODO | 0.26 |
0.51
|
ns/day |
1.97
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
288.16
|
sec |
1.95
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.14
|
Msamples/sec |
2.09
|
Food | 1.84 |
3.88
|
Msamples/sec |
2.11
|
Danish Mood | 2.29 |
3.86
|
Msamples/sec |
1.69
|
Procedural Leaves | 1.10 |
2.25
|
Msamples/sec |
2.05
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
144.75
|
sec |
1.57
|
NAMD |
|
|||
apoa1 | 45.38 |
24.63
|
ms/step |
1.84
|
f1atpase | 130.50 |
72.51
|
ms/step |
1.80
|
stmv | 448.57 |
235.09
|
ms/step |
1.91
|
Octave |
|
|||
obench | 1.20 |
0.98
|
sec/operation |
1.23
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.24
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
41.89
|
ms |
1.52
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
25.83
|
inferences/sec |
1.41
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
20.67
|
ms |
1.08
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
71.83
|
inferences/sec |
1.54
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
40.27
|
ms |
1.45
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
36.49
|
inferences/sec |
1.75
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
15.77
|
ms |
1.35
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
74.15
|
inferences/sec |
1.33
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
125.30
|
sec |
6.41
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
53888.34
|
options/sec |
1.53
|
Black-Scholes | 3389.63 |
5520.78
|
Moptions/sec |
1.63
|
Binomial | 79377.62 |
104935.74
|
options/sec |
1.32
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
18.32
|
iterations/sec |
1.14
|
Jacobi Square Grid | 6.19 |
7.15
|
iterations/sec |
1.15
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.50
|
sec |
0.73
|
NumPy Add Matrix | 4.44 |
3.90
|
sec |
1.14
|
NumPy Multiply Matrix | 8.06 |
6.73
|
sec |
1.20
|
NumPy Invert Matrix | 15.53 |
11.77
|
sec |
1.32
|
NumPy Sin Matrix | 2.67 |
2.27
|
sec |
1.17
|
Multi-Matrix | 65.50 |
39.16
|
sec |
1.67
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
380.87
|
iterations/sec |
2.76
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.22
|
fps |
1.77
|
HotSpot | 8.55 |
3.97
|
sec |
2.15
|
LavaMD | 0.07 |
0.13
|
iterations/sec |
1.87
|
SRAD | 47.04 |
55.25
|
iterations/sec |
1.17
|
SRMP |
|
|||
2D | 19.45 |
14.29
|
sec |
1.36
|
12.41
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
249.98
|
fps |
15.70
|
catia | 17.57 |
141.24
|
fps |
8.04
|
creo | 48.42 |
266.01
|
fps |
5.49
|
energy | 11.48 |
254.35
|
fps |
22.20
|
maya | 62.09 |
632.52
|
fps |
10.20
|
medical | 9.63 |
200.78
|
fps |
20.80
|
solidworks | 42.90 |
597.95
|
fps |
13.90
|
1.12
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4227.79
|
points |
1.28
|
7zip | 431.06 |
1033.73
|
points |
2.40
|
ccx | 1398.45 |
1775.42
|
points |
1.27
|
cfd | 1921.51 |
1856.27
|
points |
0.97
|
energy | 1547.93 |
1434.76
|
points |
0.93
|
handbrake | 1897.99 |
2298.48
|
points |
1.21
|
icePack | 1543.34 |
1556.07
|
points |
1.01
|
maya | 2037.06 |
2153.81
|
points |
1.06
|
MayaVenice | 472.63 |
441.45
|
points |
0.93
|
MandE | 1625.72 |
1295.62
|
points |
0.80
|
mcad | 2612.50 |
3664.49
|
points |
1.40
|
mozillaVS | 7708.43 |
8542.28
|
points |
1.11
|
namd | 1250.61 |
1552.76
|
points |
1.24
|
proddev | 659.82 |
506.55
|
points |
0.77
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 18, 2024, 4:19:49 PM PST |
3.75
|
||||
Decompression | 12.01 sec | 16.04 |
12.01
|
sec |
1.34
|
|
Compression | 43.73 sec | 254.57 |
43.73
|
sec |
5.82
|
|
Autodesk Inventor | Nov 18, 2024, 4:21:04 PM PST |
1.06
|
||||
Open Document | 4.07 sec | 4253.73 |
3908.00
|
ms |
1.09
|
|
Create/Update Files | 6.04 sec | 4973.68 |
4367.00
|
ms |
1.14
|
|
Rebuild | 9.05 sec | 10590.28 |
8883.00
|
ms |
1.19
|
|
Render Style/Material | 0.89 sec | 628.78 |
730.00
|
ms |
0.86
|
|
Blender | Nov 18, 2024, 4:21:48 PM PST |
2.19
|
||||
Classroom | 50.81 sec | 281.72 |
50.81
|
sec |
5.54
|
|
BMW27 | 23.47 sec | 43.82 |
23.47
|
sec |
1.87
|
|
BMW1M | 9.32 sec | 17.74 |
9.32
|
sec |
1.90
|
|
Island | 25.34 sec | 29.68 |
25.34
|
sec |
1.17
|
|
Convolution | Nov 18, 2024, 4:23:40 PM PST |
1.85
|
||||
20K/100 | 31.39 sec | 0.09 |
0.17
|
iterations/sec |
1.85
|
|
Data Science | Nov 18, 2024, 4:24:12 PM PST |
1.58
|
||||
Pandas | 108.99 sec | 131.99 |
97.58
|
sec |
1.35
|
|
Scikit-learn | 303.51 sec | 449.17 |
299.92
|
sec |
1.50
|
|
XGBoost | 64.93 sec | 91.50 |
46.89
|
sec |
1.95
|
|
HandBrake | Nov 18, 2024, 4:32:21 PM PST |
2.01
|
||||
SVT-AV1 8K to 4K | 116.86 sec | 195.16 |
116.86
|
sec |
1.67
|
|
x265 4K to 1080p | 30.20 sec | 38.36 |
28.45
|
sec |
1.35
|
|
x265 4K to 4K | 71.82 sec | 107.73 |
70.05
|
sec |
1.54
|
|
x264 1080p to 1080p | 9.68 sec | 49.98 |
9.68
|
sec |
5.16
|
|
GPU H.265 4K to 4K | 49.83 sec | 169.65 |
135.76
|
fps |
0.80
|
|
GPU H.265 4K to 4K | 45.59 sec | 169.65 |
171.60
|
fps |
1.01
|
|
GPU H.265 4K to 1080p | 170.53 sec | 128.84 |
474.83
|
fps |
3.69
|
|
GPU H.265 4K to 1080p | 201.84 sec | 128.84 |
201.79
|
fps |
1.57
|
|
Hidden Line Removal | Nov 18, 2024, 4:44:03 PM PST |
1.32
|
||||
Palatov | 16.48 sec | 24.29 |
32.09
|
fps |
1.32
|
|
Palatov | 16.73 sec | 24.29 |
30.55
|
fps |
1.26
|
|
LAMMPS | Nov 18, 2024, 4:44:37 PM PST |
1.68
|
||||
LJ | 11.93 sec | 705.82 |
1265.53
|
tau/day |
1.79
|
|
CHAIN | 11.65 sec | 1190.35 |
2083.86
|
tau/day |
1.75
|
|
EAM | 11.94 sec | 0.63 |
1.17
|
ns/day |
1.86
|
|
CHUTE | 8.87 sec | 38.25 |
45.16
|
tau/day |
1.18
|
|
RHODO | 5.58 sec | 0.26 |
0.51
|
ns/day |
1.97
|
|
LLVM Clang | Nov 18, 2024, 4:45:27 PM PST |
1.95
|
||||
PyTorch | 314.03 sec | 562.76 |
288.16
|
sec |
1.95
|
|
LuxCoreRender | Nov 18, 2024, 4:51:27 PM PST |
1.98
|
||||
DLSC | 10.56 sec | 2.46 |
5.14
|
Msamples/sec |
2.09
|
|
Food | 15.31 sec | 1.84 |
3.88
|
Msamples/sec |
2.11
|
|
Danish Mood | 39.77 sec | 2.29 |
3.86
|
Msamples/sec |
1.69
|
|
Procedural Leaves | 24.91 sec | 1.10 |
2.25
|
Msamples/sec |
2.05
|
|
MFEM | Nov 18, 2024, 4:52:58 PM PST |
1.57
|
||||
Dynamic AMR | 144.75 sec | 227.39 |
144.75
|
sec |
1.57
|
|
NAMD | Nov 18, 2024, 4:55:23 PM PST |
1.85
|
||||
apoa1 | 12.45 sec | 45.38 |
24.63
|
ms/step |
1.84
|
|
f1atpase | 17.83 sec | 130.50 |
72.51
|
ms/step |
1.80
|
|
stmv | 38.08 sec | 448.57 |
235.09
|
ms/step |
1.91
|
|
Octave | Nov 18, 2024, 4:56:31 PM PST |
1.23
|
||||
obench | 38.40 sec | 1.20 |
0.98
|
sec/operation |
1.23
|
|
benchmark2 | 10.87 sec | 0.11 |
0.09
|
sec/operation |
1.24
|
|
ONNX Inference | Nov 18, 2024, 4:57:29 PM PST |
3.39
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.35 sec | 63.72 |
41.89
|
ms |
1.52
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.15 sec | 18.33 |
25.83
|
inferences/sec |
1.41
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.63 sec | 18.33 |
25.85
|
inferences/sec |
1.41
|
|
CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 |
20.67
|
ms |
1.08
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.54 sec | 46.62 |
55.45
|
inferences/sec |
1.19
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.57 sec | 46.62 |
71.83
|
inferences/sec |
1.54
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 |
40.27
|
ms |
1.45
|
|
CPU SuperResolution-FP32-batch8 Throughput | 20.86 sec | 20.87 |
36.49
|
inferences/sec |
1.75
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.47 sec | 20.87 |
20.08
|
inferences/sec |
0.96
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 |
15.77
|
ms |
1.35
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.41 sec | 55.92 |
74.15
|
inferences/sec |
1.33
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.59 sec | 55.92 |
66.69
|
inferences/sec |
1.19
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.54 sec | 3.92 |
62.38
|
inferences/sec |
15.90
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.52 sec | 3.92 |
62.04
|
inferences/sec |
15.80
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.51 sec | 1.92 |
120.15
|
inferences/sec |
62.60
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.51 sec | 1.92 |
120.35
|
inferences/sec |
62.70
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.51 sec | 6.59 |
38.82
|
inferences/sec |
5.89
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.50 sec | 6.59 |
38.59
|
inferences/sec |
5.86
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.60 sec | 1.92 |
46.74
|
inferences/sec |
24.30
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.58 sec | 1.92 |
46.94
|
inferences/sec |
24.40
|
|
OpenFOAM | Nov 18, 2024, 5:04:26 PM PST |
6.41
|
||||
XiFoam Solver | 138.38 sec | 803.27 |
129.67
|
sec |
6.19
|
|
XiFoam Solver | 133.61 sec | 803.27 |
125.30
|
sec |
6.41
|
|
Options Pricing | Nov 18, 2024, 5:09:01 PM PST |
1.49
|
||||
Monte Carlo | 19.53 sec | 35137.48 |
53888.34
|
options/sec |
1.53
|
|
Black-Scholes | 13.18 sec | 3389.63 |
5520.78
|
Moptions/sec |
1.63
|
|
Binomial | 10.04 sec | 79377.62 |
104935.74
|
options/sec |
1.32
|
|
Poisson | Nov 18, 2024, 5:09:44 PM PST |
1.14
|
||||
Jacobi Rectangular Grid | 10.11 sec | 16.05 |
17.84
|
iterations/sec |
1.11
|
|
Jacobi Rectangular Grid | 10.17 sec | 16.05 |
18.32
|
iterations/sec |
1.14
|
|
Jacobi Square Grid | 10.21 sec | 6.19 |
7.07
|
iterations/sec |
1.14
|
|
Jacobi Square Grid | 10.23 sec | 6.19 |
7.15
|
iterations/sec |
1.15
|
|
Python 3 | Nov 18, 2024, 5:10:25 PM PST |
1.35
|
||||
NumPy Create Matrix | 3.03 sec | 0.36 |
0.50
|
sec |
0.73
|
|
NumPy Add Matrix | 4.49 sec | 4.44 |
3.90
|
sec |
1.14
|
|
NumPy Multiply Matrix | 7.32 sec | 8.06 |
6.73
|
sec |
1.20
|
|
NumPy Invert Matrix | 12.36 sec | 15.53 |
11.77
|
sec |
1.32
|
|
NumPy Sin Matrix | 2.87 sec | 2.67 |
2.27
|
sec |
1.17
|
|
Multi-Matrix | 39.72 sec | 65.50 |
39.16
|
sec |
1.67
|
|
Rodinia CFD | Nov 18, 2024, 5:11:42 PM PST |
2.76
|
||||
Pre-Euler | 32.76 sec | 138.14 |
380.87
|
iterations/sec |
2.76
|
|
Rodinia Life Sciences | Nov 18, 2024, 5:12:15 PM PST |
1.70
|
||||
Heart Wall | 10.79 sec | 0.69 |
1.22
|
fps |
1.77
|
|
HotSpot | 4.95 sec | 8.55 |
3.97
|
sec |
2.15
|
|
LavaMD | 15.57 sec | 0.07 |
0.13
|
iterations/sec |
1.87
|
|
SRAD | 10.21 sec | 47.04 |
55.25
|
iterations/sec |
1.17
|
|
SRMP | Nov 18, 2024, 5:12:57 PM PST |
1.36
|
||||
2D | 14.72 sec | 19.45 |
14.29
|
sec |
1.36
|
|
Viewport Graphics | Nov 18, 2024, 5:13:12 PM PST |
12.40
|
||||
3dsmax | 131.24 sec | 15.96 |
249.98
|
fps |
15.70
|
|
catia | 121.89 sec | 17.57 |
141.24
|
fps |
8.04
|
|
creo | 162.66 sec | 48.42 |
266.01
|
fps |
5.49
|
|
energy | 76.02 sec | 11.48 |
254.35
|
fps |
22.20
|
|
maya | 100.38 sec | 62.09 |
632.52
|
fps |
10.20
|
|
medical | 71.58 sec | 9.63 |
200.78
|
fps |
20.80
|
|
solidworks | 70.92 sec | 42.90 |
597.95
|
fps |
13.90
|
|
WPCstorage | Nov 18, 2024, 5:26:19 PM PST |
1.12
|
||||
3dsmax | 48.27 sec | 3299.42 |
4227.79
|
points |
1.28
|
|
7zip | 48.28 sec | 431.06 |
1033.73
|
points |
2.40
|
|
ccx | 11.42 sec | 1398.45 |
1775.42
|
points |
1.27
|
|
cfd | 12.11 sec | 1921.51 |
1856.27
|
points |
0.97
|
|
energy | 21.43 sec | 1547.93 |
1434.76
|
points |
0.93
|
|
handbrake | 15.00 sec | 1897.99 |
2298.48
|
points |
1.21
|
|
icePack | 55.50 sec | 1543.34 |
1556.07
|
points |
1.01
|
|
maya | 53.34 sec | 2037.06 |
2153.81
|
points |
1.06
|
|
MayaVenice | 33.73 sec | 472.63 |
441.45
|
points |
0.93
|
|
MandE | 20.81 sec | 1625.72 |
1295.62
|
points |
0.80
|
|
mcad | 56.18 sec | 2612.50 |
3664.49
|
points |
1.40
|
|
mozillaVS | 27.59 sec | 7708.43 |
8542.28
|
points |
1.11
|
|
namd | 16.17 sec | 1250.61 |
1552.76
|
points |
1.24
|
|
proddev | 18.67 sec | 659.82 |
506.55
|
points |
0.77
|
System Configuration Details
MOTHERBOARD
Name: 1064Model: Lenovo ThinkStation P3 Tower
Version: 30GS0061US
Manufacturer: LENOVO
Serial Number: LENOVO_MT_30GS_BU_Think_FM_ThinkStation P3 Tower
BIOS: LENOVO S0IKT6EA
BIOS Version: LENOVO - 16E0 (2024-09-29)
PROCESSOR
CPU #1: Intel(R) Core(TM) i9-14900K (3200MHz / 24C / 32T)
MEMORY
BANK 0 (Controller0-ChannelA-DIMM1): Micron Technology MTC16C2085S1UC48BA1 (32.00 GB / 4400 MHz / DDR5)BANK 1 (Controller1-ChannelB-DIMM1): Micron Technology MTC16C2085S1UC48BA1 (32.00 GB / 4400 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: Intel Raid 0 Volume (5723.18 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (5720.96 GB)
Partition 3: GPT: Unknown (1.95 GB)
Available Volumes
C: (Windows): NTFS (5581.26 GB of 5720.96 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 04:7C:16:92:A7:0A | Speed: 1000.00 Mbit
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 84:5C:F3:E9:64:6A | Speed: Not Connected
Adapter #3: Intel(R) Wi-Fi 6E AX211 160MHz
Type: Ethernet 802.3 | MAC: 84:5C:F3:E9:64:66 | Speed: Not Connected
GRAPHICS
Adapter #1: Intel(R) UHD Graphics 770Video Memory: 31.94 GB
Current Resolution: Unknown
Driver Version: 31.0.101.5590 (2024-06-09)
Adapter #2: NVIDIA RTX 5000 Ada Generation
Video Memory: 31.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 32.0.15.5601 (2024-06-03)
DISPLAY
Display #1: LENOVO GROUP LIMITED LEN P27u-10 27.2" (3840x2160)Model: 61B0 | S/N: 1261851704 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.2033 (Release 2009)
Installation Date: 2024-11-07
Free Memory: 52.78 GB (Physical) | 57.13 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Best Performance
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)