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 3680 |
CPU | Intel(R) Core(TM) i9-14900K |
Memory | 128.00 GB @ 3600 MHz |
GPU | 1x NVIDIA RTX 6000 Ada Generation 1x Intel(R) UHD Graphics 770 |
Display | DELL P2720D 27.2" (2560x1440) |
Storage | NVMe PC811 SK hynix 2048GB 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro (22631) |
Submission Details
Result Date | Tue Nov 19 2024 14:04:48 GMT-0600 (Central Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
2.28 |
Energy |
2.44 |
Financial Services |
1.68 |
Life Sciences |
2.60 |
Media & Entertainment |
2.96 |
Product Design |
2.38 |
Productivity & Development |
1.67 |
Hardware Subsystem Scores
CPU | 1.74 |
Accelerator | 6.40 |
Graphics | 13.89 |
Storage | 1.47 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.66 |
Autodesk Inventor | 1.10 |
Blender | 2.35 |
Convolution | 1.97 |
Data Science | 1.47 |
HandBrake | 2.11 |
Hidden Line Removal | 1.16 |
LAMMPS | 1.56 |
LLVM Clang | 1.98 |
LuxCoreRender | 2.12 |
MFEM | 1.45 |
NAMD | 1.92 |
Octave | 1.23 |
ONNX Inference | 3.53 |
OpenFOAM | 5.36 |
Options Pricing | 1.68 |
Poisson | 0.93 |
Python 3 | 1.39 |
Rodinia CFD | 3.09 |
Rodinia Life Sciences | 1.74 |
SRMP | 1.25 |
Viewport Graphics | 13.90 |
WPCstorage | 1.47 |
Industry Vertical Scores
AI & Machine Learning | 2.28 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
97.11
|
sec |
1.36
|
Scikit-learn | 449.17 |
369.73
|
sec |
1.21
|
XGBoost | 91.50 |
47.61
|
sec |
1.92
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
40.53
|
ms |
1.57
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
26.57
|
inferences/sec |
1.45
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
19.17
|
ms |
1.17
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
73.45
|
inferences/sec |
1.58
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
38.65
|
ms |
1.51
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
38.24
|
inferences/sec |
1.83
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
15.80
|
ms |
1.35
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
60.99
|
inferences/sec |
1.09
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
72.32
|
inferences/sec |
18.40
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
115.97
|
inferences/sec |
60.40
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
47.77
|
inferences/sec |
7.25
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
52.12
|
inferences/sec |
27.10
|
Industry Vertical Scores
Energy | 2.44 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.18
|
iterations/sec |
1.97
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
14.93
|
iterations/sec |
0.93
|
Jacobi Square Grid | 6.19 |
5.76
|
iterations/sec |
0.93
|
SRMP |
|
|||
2D | 19.45 |
15.56
|
sec |
1.25
|
Viewport Graphics |
|
|||
energy | 11.48 |
313.58
|
fps |
27.30
|
WPCstorage |
|
|||
energy | 1547.93 |
2123.35
|
points |
1.37
|
Industry Vertical Scores
Financial Services | 1.68 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
60892.82
|
options/sec |
1.73
|
Black-Scholes | 3389.63 |
6264.13
|
Moptions/sec |
1.85
|
Binomial | 79377.62 |
117986.67
|
options/sec |
1.49
|
Industry Vertical Scores
Life Sciences | 2.60 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1201.46
|
tau/day |
1.70
|
CHAIN | 1190.35 |
1776.49
|
tau/day |
1.49
|
EAM | 0.63 |
1.18
|
ns/day |
1.87
|
CHUTE | 38.25 |
36.76
|
tau/day |
0.96
|
RHODO | 0.26 |
0.52
|
ns/day |
2.01
|
NAMD |
|
|||
apoa1 | 45.38 |
23.52
|
ms/step |
1.93
|
f1atpase | 130.50 |
70.81
|
ms/step |
1.84
|
stmv | 448.57 |
224.11
|
ms/step |
2.00
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.31
|
fps |
1.89
|
HotSpot | 8.55 |
3.48
|
sec |
2.46
|
LavaMD | 0.07 |
0.14
|
iterations/sec |
2.06
|
SRAD | 47.04 |
45.20
|
iterations/sec |
0.96
|
Viewport Graphics |
|
|||
medical | 9.63 |
220.53
|
fps |
22.90
|
WPCstorage |
|
|||
namd | 1250.61 |
1247.75
|
points |
1.00
|
Industry Vertical Scores
Media & Entertainment | 2.96 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
47.57
|
sec |
5.92
|
BMW27 | 43.82 |
22.91
|
sec |
1.91
|
BMW1M | 17.74 |
9.00
|
sec |
1.97
|
Island | 29.68 |
21.60
|
sec |
1.37
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
108.57
|
sec |
1.80
|
x265 4K to 1080p | 38.36 |
25.17
|
sec |
1.52
|
x265 4K to 4K | 107.73 |
65.58
|
sec |
1.64
|
x264 1080p to 1080p | 49.98 |
9.20
|
sec |
5.43
|
GPU H.265 4K to 4K | 169.65 |
170.55
|
fps |
1.01
|
GPU H.265 4K to 1080p | 128.84 |
457.32
|
fps |
3.55
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.57
|
Msamples/sec |
2.26
|
Food | 1.84 |
4.09
|
Msamples/sec |
2.22
|
Danish Mood | 2.29 |
4.19
|
Msamples/sec |
1.83
|
Procedural Leaves | 1.10 |
2.43
|
Msamples/sec |
2.21
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
311.51
|
fps |
19.50
|
maya | 62.09 |
657.53
|
fps |
10.60
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
5835.00
|
points |
1.77
|
handbrake | 1897.99 |
2680.79
|
points |
1.41
|
maya | 2037.06 |
2930.67
|
points |
1.44
|
MayaVenice | 472.63 |
884.30
|
points |
1.87
|
MandE | 1625.72 |
1879.58
|
points |
1.16
|
Industry Vertical Scores
Product Design | 2.38 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
3937.00
|
ms |
1.08
|
Create/Update Files | 4973.68 |
4322.00
|
ms |
1.15
|
Rebuild | 10590.28 |
8912.00
|
ms |
1.19
|
Render Style/Material | 628.78 |
635.00
|
ms |
0.99
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
28.27
|
fps |
1.16
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
157.12
|
sec |
1.45
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
149.94
|
sec |
5.36
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
426.90
|
iterations/sec |
3.09
|
Viewport Graphics |
|
|||
catia | 17.57 |
156.07
|
fps |
8.88
|
creo | 48.42 |
262.52
|
fps |
5.42
|
solidworks | 42.90 |
685.71
|
fps |
16.00
|
WPCstorage |
|
|||
ccx | 1398.45 |
2463.92
|
points |
1.76
|
cfd | 1921.51 |
2728.81
|
points |
1.42
|
icePack | 1543.34 |
2841.94
|
points |
1.84
|
mcad | 2612.50 |
4686.56
|
points |
1.79
|
proddev | 659.82 |
662.11
|
points |
1.00
|
Industry Vertical Scores
Productivity & Development | 1.67 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.68
|
sec |
1.27
|
Compression | 254.57 |
44.16
|
sec |
5.76
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
284.49
|
sec |
1.98
|
Octave |
|
|||
obench | 1.20 |
0.97
|
sec/operation |
1.23
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.24
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.38
|
sec |
0.95
|
NumPy Add Matrix | 4.44 |
3.86
|
sec |
1.15
|
NumPy Multiply Matrix | 8.06 |
6.15
|
sec |
1.31
|
NumPy Invert Matrix | 15.53 |
11.53
|
sec |
1.35
|
NumPy Sin Matrix | 2.67 |
2.28
|
sec |
1.17
|
Multi-Matrix | 65.50 |
39.70
|
sec |
1.65
|
WPCstorage |
|
|||
7zip | 431.06 |
538.49
|
points |
1.25
|
mozillaVS | 7708.43 |
15230.20
|
points |
1.98
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.40
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
170.55
|
fps |
1.01
|
GPU H.265 4K to 1080p | 128.84 |
457.32
|
fps |
3.55
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
72.32
|
inferences/sec |
18.40
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
115.97
|
inferences/sec |
60.40
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
47.77
|
inferences/sec |
7.25
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
52.12
|
inferences/sec |
27.10
|
1.74
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.68
|
sec |
1.27
|
Compression | 254.57 |
44.16
|
sec |
5.76
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
3937.00
|
ms |
1.08
|
Create/Update Files | 4973.68 |
4322.00
|
ms |
1.15
|
Rebuild | 10590.28 |
8912.00
|
ms |
1.19
|
Render Style/Material | 628.78 |
635.00
|
ms |
0.99
|
Blender |
|
|||
Classroom | 281.72 |
47.57
|
sec |
5.92
|
BMW27 | 43.82 |
22.91
|
sec |
1.91
|
BMW1M | 17.74 |
9.00
|
sec |
1.97
|
Island | 29.68 |
21.60
|
sec |
1.37
|
Convolution |
|
|||
20K/100 | 0.09 |
0.18
|
iterations/sec |
1.97
|
Data Science |
|
|||
Pandas | 131.99 |
97.11
|
sec |
1.36
|
Scikit-learn | 449.17 |
369.73
|
sec |
1.21
|
XGBoost | 91.50 |
47.61
|
sec |
1.92
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
108.57
|
sec |
1.80
|
x265 4K to 1080p | 38.36 |
25.17
|
sec |
1.52
|
x265 4K to 4K | 107.73 |
65.58
|
sec |
1.64
|
x264 1080p to 1080p | 49.98 |
9.20
|
sec |
5.43
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
28.27
|
fps |
1.16
|
LAMMPS |
|
|||
LJ | 705.82 |
1201.46
|
tau/day |
1.70
|
CHAIN | 1190.35 |
1776.49
|
tau/day |
1.49
|
EAM | 0.63 |
1.18
|
ns/day |
1.87
|
CHUTE | 38.25 |
36.76
|
tau/day |
0.96
|
RHODO | 0.26 |
0.52
|
ns/day |
2.01
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
284.49
|
sec |
1.98
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.57
|
Msamples/sec |
2.26
|
Food | 1.84 |
4.09
|
Msamples/sec |
2.22
|
Danish Mood | 2.29 |
4.19
|
Msamples/sec |
1.83
|
Procedural Leaves | 1.10 |
2.43
|
Msamples/sec |
2.21
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
157.12
|
sec |
1.45
|
NAMD |
|
|||
apoa1 | 45.38 |
23.52
|
ms/step |
1.93
|
f1atpase | 130.50 |
70.81
|
ms/step |
1.84
|
stmv | 448.57 |
224.11
|
ms/step |
2.00
|
Octave |
|
|||
obench | 1.20 |
0.97
|
sec/operation |
1.23
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.24
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
40.53
|
ms |
1.57
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
26.57
|
inferences/sec |
1.45
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
19.17
|
ms |
1.17
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
73.45
|
inferences/sec |
1.58
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
38.65
|
ms |
1.51
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
38.24
|
inferences/sec |
1.83
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
15.80
|
ms |
1.35
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
60.99
|
inferences/sec |
1.09
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
149.94
|
sec |
5.36
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
60892.82
|
options/sec |
1.73
|
Black-Scholes | 3389.63 |
6264.13
|
Moptions/sec |
1.85
|
Binomial | 79377.62 |
117986.67
|
options/sec |
1.49
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
14.93
|
iterations/sec |
0.93
|
Jacobi Square Grid | 6.19 |
5.76
|
iterations/sec |
0.93
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.38
|
sec |
0.95
|
NumPy Add Matrix | 4.44 |
3.86
|
sec |
1.15
|
NumPy Multiply Matrix | 8.06 |
6.15
|
sec |
1.31
|
NumPy Invert Matrix | 15.53 |
11.53
|
sec |
1.35
|
NumPy Sin Matrix | 2.67 |
2.28
|
sec |
1.17
|
Multi-Matrix | 65.50 |
39.70
|
sec |
1.65
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
426.90
|
iterations/sec |
3.09
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.31
|
fps |
1.89
|
HotSpot | 8.55 |
3.48
|
sec |
2.46
|
LavaMD | 0.07 |
0.14
|
iterations/sec |
2.06
|
SRAD | 47.04 |
45.20
|
iterations/sec |
0.96
|
SRMP |
|
|||
2D | 19.45 |
15.56
|
sec |
1.25
|
13.89
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
311.51
|
fps |
19.50
|
catia | 17.57 |
156.07
|
fps |
8.88
|
creo | 48.42 |
262.52
|
fps |
5.42
|
energy | 11.48 |
313.58
|
fps |
27.30
|
maya | 62.09 |
657.53
|
fps |
10.60
|
medical | 9.63 |
220.53
|
fps |
22.90
|
solidworks | 42.90 |
685.71
|
fps |
16.00
|
1.47
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
5835.00
|
points |
1.77
|
7zip | 431.06 |
538.49
|
points |
1.25
|
ccx | 1398.45 |
2463.92
|
points |
1.76
|
cfd | 1921.51 |
2728.81
|
points |
1.42
|
energy | 1547.93 |
2123.35
|
points |
1.37
|
handbrake | 1897.99 |
2680.79
|
points |
1.41
|
icePack | 1543.34 |
2841.94
|
points |
1.84
|
maya | 2037.06 |
2930.67
|
points |
1.44
|
MayaVenice | 472.63 |
884.30
|
points |
1.87
|
MandE | 1625.72 |
1879.58
|
points |
1.16
|
mcad | 2612.50 |
4686.56
|
points |
1.79
|
mozillaVS | 7708.43 |
15230.20
|
points |
1.98
|
namd | 1250.61 |
1247.75
|
points |
1.00
|
proddev | 659.82 |
662.11
|
points |
1.00
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 19, 2024, 2:04:48 PM CST |
3.66
|
||||
Decompression | 12.68 sec | 16.04 |
12.68
|
sec |
1.27
|
|
Compression | 44.16 sec | 254.57 |
44.16
|
sec |
5.76
|
|
Autodesk Inventor | Nov 19, 2024, 2:05:49 PM CST |
1.10
|
||||
Open Document | 4.14 sec | 4253.73 |
3937.00
|
ms |
1.08
|
|
Create/Update Files | 6.04 sec | 4973.68 |
4322.00
|
ms |
1.15
|
|
Rebuild | 9.08 sec | 10590.28 |
8912.00
|
ms |
1.19
|
|
Render Style/Material | 0.81 sec | 628.78 |
635.00
|
ms |
0.99
|
|
Blender | Nov 19, 2024, 2:06:30 PM CST |
2.35
|
||||
Classroom | 47.57 sec | 281.72 |
47.57
|
sec |
5.92
|
|
BMW27 | 22.91 sec | 43.82 |
22.91
|
sec |
1.91
|
|
BMW1M | 9.00 sec | 17.74 |
9.00
|
sec |
1.97
|
|
Island | 21.60 sec | 29.68 |
21.60
|
sec |
1.37
|
|
Convolution | Nov 19, 2024, 2:08:15 PM CST |
1.97
|
||||
20K/100 | 35.03 sec | 0.09 |
0.18
|
iterations/sec |
1.97
|
|
Data Science | Nov 19, 2024, 2:08:50 PM CST |
1.47
|
||||
Pandas | 100.06 sec | 131.99 |
97.11
|
sec |
1.36
|
|
Scikit-learn | 373.42 sec | 449.17 |
369.73
|
sec |
1.21
|
|
XGBoost | 66.01 sec | 91.50 |
47.61
|
sec |
1.92
|
|
HandBrake | Nov 19, 2024, 2:18:01 PM CST |
2.11
|
||||
SVT-AV1 8K to 4K | 108.57 sec | 195.16 |
108.57
|
sec |
1.80
|
|
x265 4K to 1080p | 26.98 sec | 38.36 |
25.17
|
sec |
1.52
|
|
x265 4K to 4K | 67.40 sec | 107.73 |
65.58
|
sec |
1.64
|
|
x264 1080p to 1080p | 9.20 sec | 49.98 |
9.20
|
sec |
5.43
|
|
GPU H.265 4K to 4K | 51.70 sec | 169.65 |
132.13
|
fps |
0.78
|
|
GPU H.265 4K to 4K | 46.95 sec | 169.65 |
170.55
|
fps |
1.01
|
|
GPU H.265 4K to 1080p | 178.00 sec | 128.84 |
457.32
|
fps |
3.55
|
|
GPU H.265 4K to 1080p | 203.83 sec | 128.84 |
196.91
|
fps |
1.53
|
|
Hidden Line Removal | Nov 19, 2024, 2:29:40 PM CST |
1.16
|
||||
Palatov | 16.70 sec | 24.29 |
28.27
|
fps |
1.16
|
|
Palatov | 16.90 sec | 24.29 |
27.18
|
fps |
1.12
|
|
LAMMPS | Nov 19, 2024, 2:30:14 PM CST |
1.56
|
||||
LJ | 12.87 sec | 705.82 |
1201.46
|
tau/day |
1.70
|
|
CHAIN | 13.73 sec | 1190.35 |
1776.49
|
tau/day |
1.49
|
|
EAM | 12.06 sec | 0.63 |
1.18
|
ns/day |
1.87
|
|
CHUTE | 10.94 sec | 38.25 |
36.76
|
tau/day |
0.96
|
|
RHODO | 6.05 sec | 0.26 |
0.52
|
ns/day |
2.01
|
|
LLVM Clang | Nov 19, 2024, 2:31:10 PM CST |
1.98
|
||||
PyTorch | 301.68 sec | 562.76 |
284.49
|
sec |
1.98
|
|
LuxCoreRender | Nov 19, 2024, 2:36:59 PM CST |
2.12
|
||||
DLSC | 9.53 sec | 2.46 |
5.57
|
Msamples/sec |
2.26
|
|
Food | 15.00 sec | 1.84 |
4.09
|
Msamples/sec |
2.22
|
|
Danish Mood | 36.76 sec | 2.29 |
4.19
|
Msamples/sec |
1.83
|
|
Procedural Leaves | 22.88 sec | 1.10 |
2.43
|
Msamples/sec |
2.21
|
|
MFEM | Nov 19, 2024, 2:38:23 PM CST |
1.45
|
||||
Dynamic AMR | 157.12 sec | 227.39 |
157.12
|
sec |
1.45
|
|
NAMD | Nov 19, 2024, 2:41:01 PM CST |
1.92
|
||||
apoa1 | 11.87 sec | 45.38 |
23.52
|
ms/step |
1.93
|
|
f1atpase | 18.41 sec | 130.50 |
70.81
|
ms/step |
1.84
|
|
stmv | 35.04 sec | 448.57 |
224.11
|
ms/step |
2.00
|
|
Octave | Nov 19, 2024, 2:42:06 PM CST |
1.23
|
||||
obench | 29.58 sec | 1.20 |
0.97
|
sec/operation |
1.23
|
|
benchmark2 | 10.77 sec | 0.11 |
0.09
|
sec/operation |
1.24
|
|
ONNX Inference | Nov 19, 2024, 2:42:55 PM CST |
3.53
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.36 sec | 63.72 |
40.53
|
ms |
1.57
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.23 sec | 18.33 |
26.57
|
inferences/sec |
1.45
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.56 sec | 18.33 |
25.66
|
inferences/sec |
1.40
|
|
CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 |
19.17
|
ms |
1.17
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.52 sec | 46.62 |
60.65
|
inferences/sec |
1.30
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.60 sec | 46.62 |
73.45
|
inferences/sec |
1.58
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 |
38.65
|
ms |
1.51
|
|
CPU SuperResolution-FP32-batch8 Throughput | 20.79 sec | 20.87 |
38.24
|
inferences/sec |
1.83
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.61 sec | 20.87 |
16.54
|
inferences/sec |
0.79
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.09 sec | 21.34 |
15.80
|
ms |
1.35
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.40 sec | 55.92 |
60.99
|
inferences/sec |
1.09
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.61 sec | 55.92 |
54.66
|
inferences/sec |
0.98
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.82 sec | 3.92 |
71.41
|
inferences/sec |
18.20
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.55 sec | 3.92 |
72.32
|
inferences/sec |
18.40
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.52 sec | 1.92 |
115.97
|
inferences/sec |
60.40
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.52 sec | 1.92 |
114.03
|
inferences/sec |
59.40
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.69 sec | 6.59 |
47.77
|
inferences/sec |
7.25
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.71 sec | 6.59 |
47.74
|
inferences/sec |
7.24
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.72 sec | 1.92 |
51.10
|
inferences/sec |
26.60
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.70 sec | 1.92 |
52.12
|
inferences/sec |
27.10
|
|
OpenFOAM | Nov 19, 2024, 2:49:54 PM CST |
5.36
|
||||
XiFoam Solver | 160.84 sec | 803.27 |
150.52
|
sec |
5.34
|
|
XiFoam Solver | 159.26 sec | 803.27 |
149.94
|
sec |
5.36
|
|
Options Pricing | Nov 19, 2024, 2:55:17 PM CST |
1.68
|
||||
Monte Carlo | 17.30 sec | 35137.48 |
60892.82
|
options/sec |
1.73
|
|
Black-Scholes | 11.78 sec | 3389.63 |
6264.13
|
Moptions/sec |
1.85
|
|
Binomial | 8.95 sec | 79377.62 |
117986.67
|
options/sec |
1.49
|
|
Poisson | Nov 19, 2024, 2:55:55 PM CST |
0.93
|
||||
Jacobi Rectangular Grid | 10.11 sec | 16.05 |
14.76
|
iterations/sec |
0.92
|
|
Jacobi Rectangular Grid | 10.07 sec | 16.05 |
14.93
|
iterations/sec |
0.93
|
|
Jacobi Square Grid | 10.09 sec | 6.19 |
5.76
|
iterations/sec |
0.93
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
5.75
|
iterations/sec |
0.93
|
|
Python 3 | Nov 19, 2024, 2:56:35 PM CST |
1.39
|
||||
NumPy Create Matrix | 1.14 sec | 0.36 |
0.38
|
sec |
0.95
|
|
NumPy Add Matrix | 4.57 sec | 4.44 |
3.86
|
sec |
1.15
|
|
NumPy Multiply Matrix | 6.87 sec | 8.06 |
6.15
|
sec |
1.31
|
|
NumPy Invert Matrix | 12.23 sec | 15.53 |
11.53
|
sec |
1.35
|
|
NumPy Sin Matrix | 2.97 sec | 2.67 |
2.28
|
sec |
1.17
|
|
Multi-Matrix | 40.53 sec | 65.50 |
39.70
|
sec |
1.65
|
|
Rodinia CFD | Nov 19, 2024, 2:57:51 PM CST |
3.09
|
||||
Pre-Euler | 32.61 sec | 138.14 |
426.90
|
iterations/sec |
3.09
|
|
Rodinia Life Sciences | Nov 19, 2024, 2:58:24 PM CST |
1.74
|
||||
Heart Wall | 10.85 sec | 0.69 |
1.31
|
fps |
1.89
|
|
HotSpot | 4.45 sec | 8.55 |
3.48
|
sec |
2.46
|
|
LavaMD | 14.18 sec | 0.07 |
0.14
|
iterations/sec |
2.06
|
|
SRAD | 10.20 sec | 47.04 |
45.20
|
iterations/sec |
0.96
|
|
SRMP | Nov 19, 2024, 2:59:04 PM CST |
1.25
|
||||
2D | 16.04 sec | 19.45 |
15.56
|
sec |
1.25
|
|
Viewport Graphics | Nov 19, 2024, 2:59:20 PM CST |
13.90
|
||||
3dsmax | 119.80 sec | 15.96 |
311.51
|
fps |
19.50
|
|
catia | 107.89 sec | 17.57 |
156.07
|
fps |
8.88
|
|
creo | 124.06 sec | 48.42 |
262.52
|
fps |
5.42
|
|
energy | 75.93 sec | 11.48 |
313.58
|
fps |
27.30
|
|
maya | 91.14 sec | 62.09 |
657.53
|
fps |
10.60
|
|
medical | 71.41 sec | 9.63 |
220.53
|
fps |
22.90
|
|
solidworks | 67.36 sec | 42.90 |
685.71
|
fps |
16.00
|
|
WPCstorage | Nov 19, 2024, 3:11:10 PM CST |
1.47
|
||||
3dsmax | 41.36 sec | 3299.42 |
5835.00
|
points |
1.77
|
|
7zip | 42.25 sec | 431.06 |
538.49
|
points |
1.25
|
|
ccx | 12.18 sec | 1398.45 |
2463.92
|
points |
1.76
|
|
cfd | 12.66 sec | 1921.51 |
2728.81
|
points |
1.42
|
|
energy | 19.08 sec | 1547.93 |
2123.35
|
points |
1.37
|
|
handbrake | 15.34 sec | 1897.99 |
2680.79
|
points |
1.41
|
|
icePack | 41.52 sec | 1543.34 |
2841.94
|
points |
1.84
|
|
maya | 44.01 sec | 2037.06 |
2930.67
|
points |
1.44
|
|
MayaVenice | 24.19 sec | 472.63 |
884.30
|
points |
1.87
|
|
MandE | 18.56 sec | 1625.72 |
1879.58
|
points |
1.16
|
|
mcad | 47.55 sec | 2612.50 |
4686.56
|
points |
1.79
|
|
mozillaVS | 24.48 sec | 7708.43 |
15230.20
|
points |
1.98
|
|
namd | 17.35 sec | 1250.61 |
1247.75
|
points |
1.00
|
|
proddev | 18.74 sec | 659.82 |
662.11
|
points |
1.00
|
System Configuration Details
MOTHERBOARD
Name: 0VTKY7Model: Precision 3680
Version: A00
Manufacturer: Dell Inc.
Serial Number: /6XQ8N34/CNFCW00447007Q/
BIOS: Dell Inc. 1.8.0
BIOS Version: DELL - 2 (2024-09-05)
PROCESSOR
CPU #1: Intel(R) Core(TM) i9-14900K (3200MHz / 24C / 32T)
MEMORY
(DIMM1): 802C0000802C MTC16C2085S1UC56BD1 (32.00 GB / 3600 MHz / DDR5)(DIMM2): 802C0000802C MTC16C2085S1UC56BD1 (32.00 GB / 3600 MHz / DDR5)
(DIMM3): 802C0000802C MTC16C2085S1UC56BD1 (32.00 GB / 3600 MHz / DDR5)
(DIMM4): 802C0000802C MTC16C2085S1UC56BD1 (32.00 GB / 3600 MHz / DDR5)
Total Memory: 128.00 GB
STORAGE
Disk #1: NVMe PC811 SK hynix 2048GB (1907.73 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (1904.93 GB)
Partition 3: GPT: Unknown (0.97 GB)
Partition 4: GPT: Unknown (1.50 GB)
Available Volumes
C: (OS): NTFS (1626.30 GB of 1904.93 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 4C:D7:17:9A:10:F0 | Speed: Not Connected
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: FC:B0:DE:31:D3:3E | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 6000 Ada GenerationVideo Memory: 47.99 GB
Current Resolution: 2560x1440 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5286 (2024-07-22)
Adapter #2: Intel(R) UHD Graphics 770
Video Memory: 1.00 GB
Current Resolution: Unknown
Driver Version: 31.0.101.4575 (2023-07-10)
DISPLAY
Display #1: DELL INC. DELL P2720D 27.2" (2560x1440)Model: D100 | S/N: JV69F99J031L | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-09-12
Free Memory: 116.95 GB (Physical) | 123.65 GB (Virtual) | 8.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)